3/26/2022»»Saturday

nahaupelroconbi.netlify.com

Vision Based Parking Slot Detection

3/26/2022
    41 - Comments
Vision Based Parking Slot Detection

CNRPark+EXT is a dataset for visual occupancy detection of parking lots of roughly 150,000 labeled images (patches) of vacant and occupied parking spaces, built on a parking lot of 164 parking spaces. CNRPark+EXT extends CNRPark, a preliminary dataset composed by 12,000 images collected in different days of July 2015 from 2 cameras. The additional subset, called CNR-EXT, is composed. The parking slot marking detection stage recognizes various types of parking slot markings. The parking slot occupancy classification stage identifies vacancies of detected parking slots using ultrasonic sensor data. Parking slot occupancy is probabilistically calculated by treating each parking slot region as a single cell of the occupancy grid.

Parking

Publications: (Citation Statistics)

Journal Papers

  1. Shiyu Zhao, Lin Zhang*, Shuaiyi Huang, Ying Shen, and Shengjie Zhao, 'Dehazing evaluation: Real-world benchmark datasets, criteria and baselines', IEEE Trans. Image Processing, vol. 29, pp. 6947-6962, 2020. (data and source code)

  2. Zhong Wang, Lin Zhang*, Shengjie Zhao, and Shaoming Zhang, 'Global Localization with a Single-line LiDAR by Dense 2D Signature and 1D Registration', IEEE Sensors Journal, to appear.

  3. Lin Zhang, Xilin Yang, Lijun Zhang, Xiao Liu, Shengjie Zhao, and Yong Ma, 'Towards Automatic Image Exposure Level Assessment', Mathematical Problems in Engineering, vol. 2020, pp. 2789854:1-14, 2020. (data and source code)

  4. Lin Zhang, Anqi Zhu, Ying Shen*, Shengjie Zhao, and Huijuan Zhang, 'Revisit Retinex Theory: Towards a Lightness-Aware Restorer for Underexposed Images', Mathematical Problems in Engineering, vol. 2020, pp. 1325705:1-11, 2020. (data and source code)

  5. Xining Zhu, Lin Zhang*, Lijun Zhang, Xiao Liu, Ying Shen, and Shengjie Zhao, 'GAN-Based Image Super-Resolution with a Novel Quality Loss', Mathematical Problems in Engineering, vol. 2020, pp. 5217429:1-12, 2020.

  6. Shiyu Zhao, Lin Zhang*, Ying Shen, Shengjie Zhao, and Huijuan Zhang, 'Super-Resolution for Monocular Depth Estimation with Multi-scale Sub-pixel Convolutions and A Smoothness Constraint', IEEE Access, vol. 7, pp. 16323-16335, 2019.

  7. Lin Zhang, Xining Zhu, and Lida Li, 'Multi-dictionary based collaborative representation: With applications to 3D ear and 3D palmprint identification', Mathematical Problems in Engineering, vol. 2019, pp. 66957415:1-13, 2019. (website and source code)

  8. Lin Zhang, Junhao Huang, Xiyuan Li, and Lu Xiong, 'Vision-based parking-slot detection: A DCNN-based approach and a large-scale benchmark dataset', IEEE Trans. Image Processing, vol. 27, no. 11, pp. 5350-5364, 2018. (data and source code)

  9. Lin Zhang, Zaixi Cheng, Ying Shen*, and Dongqing Wang, 'Palmprint and palmvein recognition based on DCNN and a new large-scale contactless palmvein dataset', Symmetry, vol. 10, no. 4, pp. 78:1-15, 2018. (data website)

  10. Lin Zhang, Xiyuan Li, Junhao Huang, Ying Shen*, and Dongqing Wang, 'Vision-based parking-slot detection: A benchmark and a learning-based approach', Symmetry, vol. 10, no. 3, pp. 64:1-18, 2018. (data and source code)

  11. Lin Zhang, Lida Li, Anqi Yang, Ying Shen, and Meng Yang, 'Towards contactless palmprint recognition: A novel Device, a new benchmark, and a collaborative representation based identification approach', Pattern Recognition, vol. 69, pp. 199-212, 2017. (data and source code)

  12. Lin Zhang, Qingjun Liang, Ying Shen, Meng Yang, and Feng Liu, 'Image set classification based on synthetic examples and reverse training', Neurocomputing,vol. 228, pp. 3-10, 2017.

  13. Lin Zhang, Lida Li, Hongyu Li, and Meng Yang, '3D ear identification using block-wise statistics based features and LC-KSVD', IEEE Trans. Multimedia,vol. 18, no. 8, pp. 1531-1541, 2016. (website and source code)

  14. Lin Zhang, Ying Shen, Hongyu Li, and Jianwei Lu, '3D palmprint identification using block-wise features and collaborative representation', IEEE Trans. Pattern Analysis and Machine Intelligence,vol. 37, no. 8, pp. 1730-1736, 2015. (website and source code)

  15. Lin Zhang, Lei Zhang, and Alan C. Bovik, 'A feature-enriched completely blind image quality evaluator', IEEE Trans. Image Processing, vol. 24, no. 8, pp. 2579-2591, 2015. (website and source code)

  16. Ying Shen and Lin Zhang*, 'Gene function prediction with knowledge from Gene Ontology', Int. J. Data Mining and Bioinformatics, vol. 13, no. 1, pp. 50-62, 2015.

  17. Lin Zhang, Ying Shen, and Hongyu Li, 'VSI: A visual saliency induced index for perceptual image quality assessment', IEEE Trans. Image Processing,vol. 23, no. 10,pp. 4270-4281, 2014. (website and source code)

  18. Lin Zhang, Zhongyi Gu, Xiaoxu Liu, Hongyu Li, and Jianwei Lu, 'Training quality-aware filters for no-reference image quality assessment', IEEE Multimedia Magazine, vol. 22, no. 4, pp. 67-75, 2014.

  19. Lin Zhang, Zhixuan Ding, Hongyu Li, Ying Shen, and Jianwei Lu, '3D face recognition based on multiple keypoint descriptors and sparse representation', PLoS One, vol. 9, no. 6, pp. e100120:1-9, 2014. (website and source code)

  20. Lin Zhang, Zhixuan Ding, Hongyu Li, and Ying Shen, '3D ear identification based on sparse representation', PLoS One, vol. 9, no. 4, pp. e95506:1-9, 2014. (website and source code)

  21. Guangwei Gao, Jian Yang, Jianjun Qian, and Lin Zhang, 'Integration of multiple orientation and texture information for finger-knuckle-print verification', Neurocomputing, vol. 135, no. 7, pp. 180-191, 2014.

  22. Ying Shen, Shaohong Zhang, Hau-San Wong, and Lin Zhang, 'Characterization of semantic similarity on Gene Ontology based on a shortest path approach', International Journal of Data Mining and Bioinformatics, vol. 10, no. 1, pp. 33-48, 2014. (website and source code)

  23. Zhenhua Guo, Qin Li, Lin Zhang, Jane You, David Zhang, and Wenhuang Liu, 'Is local dominant orientation necessary for the classification of rotation invariant texture?', Neurocomputing, vol. 116, no. 9, pp. 182-191, 2013.

  24. Guangwei Gao, Lei Zhang, Jian Yang, Lin Zhang, and David Zhang, 'Reconstruction based Finger-Knuckle-Print verification with score level adaptive binary fusion', IEEE Trans. Image Processing, vol. 22, no. 12, pp. 5050-5062, 2013.

  25. Ying Shen, Hausan Wong, Shaohong Zhang, and Lin Zhang, 'RNA structural motif recognition based on least-squares distance', RNA, vol. 19, no. 9, pp. 1183-1191, 2013.

  26. Lin Zhang and Hongyu Li, 'Encoding local image patterns using Riesz transforms: With applications to palmprint and finger-knuckle-print recognition', Image and Vision Computing, vol. 30, no. 12, pp. 1043-1051, 2012.

  27. Lin Zhang, Hongyu Li, and Junyu Niu, 'Fragile bits in palmprint recognition', IEEE Signal Processing Letters, vol. 19, no. 10, pp. 663-666, 2012.

  28. Lin Zhang, Lei Zhang, David Zhang, and Zhenhua Guo, 'Phase congruency induced local features for finger-knuckle-print recognition', Pattern Recognition, vol. 45, no. 7, pp. 2522-2531, 2012. (website)

  29. Lin Zhang, Lei Zhang, Xuanqin Mou, and David Zhang, 'FSIM: A feature similarity index for image quality assessment', IEEE Trans. Image Processing,vol. 20, no. 8, pp. 2378-2386, 2011.(website and source code)

  30. Lin Zhang, Lei Zhang, David Zhang, and Hailong Zhu, 'Ensemble of local and global information for finger-knuckle-print recognition', Pattern Recognition, vol. 44, no. 9, pp. 1990-1998, 2011. (website)

  31. Jie Zhou, Lin Zhang, and Lei Zhang, 'New members in the biometrics family', Communications of the China Computer Federation, vol. 7, no. 5, pp. 16-22, 2011. (in Chinese)

  32. Lin Zhang, Lei Zhang, David Zhang, and Hailong Zhu, 'Online finger-knuckle-print verification for personal authentication', Pattern Recognition, vol. 43, no. 7, pp. 2560-2571, 2010 (website).

  33. Bob Zhang,Lin Zhang, Lei Zhang and Fakhri Karray, 'Retinal vessel extraction by matched filter with first-order derivative of Gaussian', Computers in Biology and Medicine, vol. 40, no. 4, pp. 438-445, 2010.

Conference Papers

  1. Xuan Shao, Lin Zhang*, Tianjun Zhang, Ying Shen, Hongyu Li, and Yicong Zhou, A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking, in: Proc. ACM MM, 2020. (website and data)

  2. Tianjun Zhang, Lin Zhang*, Ying Shen, Yong Ma, Shengjie Zhao, and Yicong Zhou, OECS: Towards Online Extrinsics Correction for the Surround-view System, in: Proc. ICME, 2020. (website and source code)

  3. Anqi Zhu, Lin Zhang*, Ying Shen, Yong Ma, Shengjie Zhao, and Yicong Zhou, Zero-shot restoration of underexposed images via robust Retinex decomposition, in: Proc. ICME, 2020. (website and source code)

  4. Juntao Chen, Lin Zhang*, Ying Shen, Yong Ma, Shengjie Zhao, and Yicong Zhou, A study of parking-slot detection with the aid of pixel-level domain adaptation, in: Proc. ICME, 2020.

  5. Lin Zhang, Lijun Zhang, Xiao Liu, Ying Shen, Shaoming Zhang, and Shengjie Zhao, Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning, in: Proc. ACM MM, pp. 1623-1631, 2019. (website and source code)

  6. Xiao Liu, Lin Zhang*, Ying Shen, Shaoming Zhang, and Shengjie Zhao, Online Camera Pose Optimization for the Surround-view System, in: Proc. ACM MM, pp. 383-391, 2019.

  7. Shiyu Zhao, Lin Zhang*, Shuaiyi Huang, Ying Shen, Shengjie Zhao, and Yukai Yang, Evaluation of defogging: A real-world benchmark dataset, a new criterion and baselines, in: Proc. ICME, pp. 1840-1845, 2019.

  8. Yingyi Zhang, Lin Zhang*, Xiao Liu, Shengjie Zhao, Ying Shen, and Yukai Yang, Pay by showing your palm: A study of palmprint verification on mobile platforms, in: Proc. ICME, pp. 862-867, 2019.

  9. Xuan Shao, Xiao Liu, Lin Zhang*, Shengjie Zhao, Ying Shen, and Yukai Yang, Revisit surround-view camera system calibration, in: Proc. ICME, pp. 1486-1491, 2019.

  10. Junhao Huang, Lin Zhang*, Ying Shen, Huijuan Zhang, Shengjie Zhao, and Yukai Yang, DMPS: A novel approach for parking-slot detection using directional marking-point regression, in: Proc. ICME, pp. 212-217, 2019. (website and source code)

  11. Lin Zhang, Juntao Chen, Dongyang Liu, Ying Shen, and Shengjie Zhao, Seamless 3D surround view with a novel burger model, in: Proc. ICIP, 2019.

  12. Shiyu Zhao, Lin Zhang*, Ying Shen, and Yongning Zhu, A CNN-based Depth Estimation Approach with Multi-scale Sub-pixel Convolutions and A Smoothness Constraint, in: Proc. ACCV, 2018.

  13. Lijun Zhang, Lin Zhang*, Xiao Liu, Ying Shen, and Dongqing Wang, Image exposure assessment: A benchmark and a deep convolutional neural networks based model, in: Proc. ICME, 2018.

  14. Yamei Zhu and Lin Zhang*, A comprehensive study on upper-body detection with deep neural networks, in Proc. ICPR, 2018.

  15. Linshen Li, Lin Zhang*, Xiyuan Li, Xiao Liu, Ying Shen, and Lu Xiong, Vision-based parking-slot detection: A benchmark and a learning-based approach, in: Proc. ICME, pp. 649-654, 2017. (website and source code)

  16. Lijun Zhang, Lin Zhang*, and Lida Li, Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model, in Proc. ICONIP, 2017. (website and source code)

  17. Ning Zhang, Lin Zhang*, and Zaixi Cheng, Towards Simulating Foggy and Hazy Images and Evaluating their Authenticity, in Proc. ICONIP, 2017. (website and source code)

  18. Ning Zhang and Lin Zhang*, SSGD: Superpixels using the shortest gradient distance, in Proc. ICIP, 2017. (website and source code)

  19. Lida Li, Lin Zhang*, and Hongyu Li, 3D ear identification using LC-KSVD and local histograms of surface types, in: Proc. ICME2015.

  20. Lin Zhang, Zhixuan Ding, Hongyu Li, and Jianwei Lu, 3DMKDSRC: A novel approach for 3D face recognition, in: Proc. ICME, 2014.

  21. Zhongyi Gu, Lin Zhang*, Xiaoxu Liu, Hongyu Li, and Jianwei Lu, Learning quality-aware filters for no-reference image quality assessment, in: Proc. ICME, 2014.

  22. Lin Zhang, Zhongyi Gu, and Hongyu Li, SDSP: A novel saliency detection method by combining simple priors, in: Proc. ICIP, pp. 171-175, 2013. (website and source code)

  23. Zhixuan Ding, Lin Zhang*, and Hongyu Li, A novel 3D ear identification approach based on sparse representation, in: Proc. ICIP, pp. 4166-4170, 2013.

  24. Zhongyi Gu, Lin Zhang*, and Hongyu Li, Learning a blind image quality index based on visual saliency guided sampling and Gabor filtering, in: Proc. ICIP, pp. 186-190, 2013. (website and source code)

  25. Hongyi Li, Zhujing Wu, Lin Zhang*, and Jussi Parkkinen, SR-LLA: A novel spectral reconstruction method based on locally linear approximation, in: Proc. ICIP, pp. 2029-2033, 2013.

  26. Lin Zhang, Lei Zhang, Xuanqin Mou, and David Zhang, 'A comprehensive evaluation of full reference image quality assessment algorithms', in: Proc. ICIP, pp. 1477-1480, 2012. (website)

  27. Lin Zhang and Hongyu Li, 'SR-SIM: A fast and high performance IQA index based on spectral residual', in: Proc. ICIP, pp. 1473-1476, 2012. (website and source code)

  28. Lin Zhang, Zhiqiang Zhou and Hongyu Li, 'Binary Gabor pattern: an efficient and robust descriptor for texture classification', in: Proc. ICIP, pp. 81-84, 2012. (website and source code)

  29. Hongyu Li, Junyu Niu, and Lin Zhang, 'Entropy based image semantic cycle for image classification', in: Proc. ICONIP, pp. 533-540, 2012.

  30. Hongyu Li, Chen Lin, Junyu Niu, Lin Zhang, and Jussi Parkkinen, 'Manifold analysis of spectral munsell colors', in: Proc. ICONIP, pp. 543-550, 2012.

  31. Hongyu Li, Junyu Niu, Lin Zhang, and Bo Hu, 'Spatio-temporal LTSA and its application to motion decomposition', in: Proc. ICONIP, pp. 498-505, 2012.

  32. Yi Wang, Hongyu Li, Junyu Niu, and Lin Zhang, 'Local tangent space based manifold entropy for image retrieval', in: Proc. ICPR, pp. 262-265, 2012.

  33. Lin Zhang, Hongyu Li, and Ying Shen, A novel Riesz transforms based coding scheme for finger-knuckle-print recognition, in: Proc. ICHB, pp. 204-209, 2011.

  34. Lin Zhang, Lei Zhang, and Xuanqin Mou, 'RFSIM: a feature based image quality assessment metric using Riesz transforms', in: Proc. ICIP, pp. 321-324, 2010. (website and source code)

  35. Lin Zhang, Lei Zhang, Zhenhua Guo, and David Zhang, 'Monogenic-LBP: a new approach for rotation invariant texture classification', in: Proc. ICIP, pp. 2677-2680, 2010. (website and source code)

  36. Meng Yang, Lei Zhang, Lin Zhang, and David Zhang, 'Monogenic binary pattern (MBP): a novel feature extraction and representation model for face recognition', in: Proc. ICPR, pp. 2680-2683, 2010.

  37. Lin Zhang, Lei Zhang, and David Zhang, MonogenicCode: A novel fast feature coding algorithm with applications to finger-knuckle-print recognition, in: Proc. ETCHB, 2010

  38. Lin Zhang, Lei Zhang, and David Zhang, 'Finger-knuckle-print: a new biometric identifier', in: Proc. ICIP, pp. 1981-1984, 2009.

  39. Lin Zhang, Lei Zhang, and David Zhang, 'Finger-knuckle-print verification based on band-limited phase-only correlation', in: Proc. CAIP, pp. 141-148, 2009.

  40. Lin Zhang, Lei Zhang, and David Zhang, 'A multi-scale bilateral structure tensor based corner detector', in: Proc. ACCV, pp. 618-627, 2009.

Patents

  1. 张林，张荔郡，刘潇，沈莹，一种图像曝光度无参考质量评价方法，发明专利，专利号：201810516492.8，授权日：2020. 08. 14，国家知识产权局

  2. 基于视觉的环视泊车位检测系统软件，计算机软件著作权，登记号：2019SR0739199，颁证日期：2019年7月17日

  3. 张林，李力达，沈莹，李宏宇，一种基于分块统计特征与字典学习稀疏表示分类的三维人耳识别，发明专利，专利号：201510427489.5，授权日：2018.10.26，国家知识产权局

  4. 张林，李力达，李宏宇，沈莹，一种基于分块统计特征与联合表示的三维掌纹识别方法，发明专利，专利号：201410359335.2，授权日：2017.06.13，国家知识产权局

  5. 张林，丁志轩，李力达，李宏宇，沈莹，一种基于稀疏表示与多特征点的三维人脸识别方法，发明专利，专利号：201410172494.1，授权日：2017.04.12，国家知识产权局

  6. 张林，顾中一，李宏宇，沈莹，基于高质量自然场景统计量模型的无参考图像质量评价方法，发明专利，专利号：201410199362.8，授权日：2017.01.11，国家知识产权局

  7. Lei Zhang, Lin Zhang, Hailong Zhu, David Zhang, and Nan Luo, Method and system for identifying a person using their finger-joint print, USA patent, patent number: US8,208,692 B2, granted date Jun. 26, 2012

  8. 张磊，张林，祝海龙，张大鹏，骆南，利用指关节纹识别个人身份的方法和系统，发明专利，专利号：201010005524.1，授权日：2012年08月03日，国家知识产权局

Last update: Nov. 25, 2020

Vision based parking slot detection softwareBased

Dataset Download

Machine Vision Detection

Vision Based Parking Slot Detection

You can download CNRPark+EXT using the following links:

Vision Detection System

  • CNRPark+EXT.csv (18.1 MB)

    CSV collecting metadata for each patch of both CNRPark and CNR-EXT datasets

  • CNRPark-Patches-150x150.zip (36.6 MB)

    segmented images (patches) of parking spaces belonging to the CNRPark preliminary subset.
    Files follow this organization: <CAMERA>/<CLASS>/YYYYMMDD_HHMM_<SLOT_ID>.jpg, where:

    • <CAMERA> can be A or B,
    • <CLASS> can be free or busy,
    • YYYYMMDD_HHMM is the zero-padded 24-hour capture datetime,
    • <SLOT_ID> is a local ID given to the slot for that particular camera

    E.g:A/busy/20150703_1425_32.jpg

  • CNR-EXT-Patches-150x150.zip (449.5 MB)

    segmented images (patches) of parking spaces belonging to the CNR-EXT subset.
    Files follow this organization:
    PATCHES/<WEATHER>/<CAPTURE_DATE>/camera<CAM_ID>/<W_ID>_<CAPTURE_DATE>_<CAPTURE_TIME>_C0<CAM_ID>_<SLOT_ID>.jpg,
    where:

    • <WEATHER> can be SUNNY, OVERCAST or RAINY,
    • <CAPTURE_DATE> is the zero-padded YYYY-MM-DD formatted capture date,
    • <CAM_ID> is the number of the camera, ranging 1-9,
    • <W_ID> is a weather identifier, that can be S, O or R,
    • <CAPTURE_TIME> is the zero-padded 24-hour HH.MM formatted capture time,
    • <SLOT_ID> is a global ID given to the monitored slot; this can be used to uniquely identify a slot in the CNR-EXT dataset.

    E.g:PATCHES/SUNNY/2015-11-22/camera6/S_2015-11-22_09.47_C06_205.jpg

    The LABELS folder contains a list file for each split of the dataset used in our experiments. Each line in list files follow this format: <IMAGE_PATH> <LABEL>, where:

    • <IMAGE_PATH> is the path to a slot image,
    • <LABEL> is 0 for free, 1 for busy.

  • CNR-EXT_FULL_IMAGE_1000x750.tar (1.1 GB)

    full frames of the cameras belonging to the CNR-EXT subset. Images have been downsampled from 2592x1944 to 1000x750 due to privacy issues.
    Files follow this organization:
    FULL_IMAGE_1000x750/<WEATHER>/<CAPTURE_DATE>/camera<CAM_ID>/<CAPTURE_DATE>_<CAPTURE_TIME>.jpg,
    where:

    • <WEATHER> can be SUNNY, OVERCAST or RAINY,
    • <CAPTURE_DATE> is the zero-padded YYYY-MM-DD formatted capture date,
    • <CAM_ID> is the number of the camera, ranging 1-9,
    • <CAPTURE_TIME> is the zero-padded 24-hour HHMM formatted capture time.

    The archive contains also 9 CSV files (one per camera) containing the bounding boxes of each parking space with which patches have been segmented. Pixel coordinates of the bouding boxes refer to the 2592x1944 version of the image and need to be rescaled to match the 1000x750 version.

  • splits.zip (27.2 MB)

    all the splits used in our experiments. Those splits combine our datasets and also third-party datasets (such as PKLot).

 nahaupelroconbi.netlify.com © 2022