The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection
Abstract
This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines a MID (mosaic image difference) based foreground segmentation algorithm and a HOG (histograms of oriented gradients) based head-shoulder detection algorithm to provide an accurate estimation of people counts in the observed area. In our framework, the MID-based foreground segmentation module provides active areas for the head-shoulder detection module to detect heads and count the number of people. Numerous experiments are conducted and convincing results demonstrate the effectiveness of our method.
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Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
Rapid object detection using a boosted cascade of simple features
Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990517 · Cited by 18,300
Learning patterns of activity using real-time tracking
Stauffer, C., & Grimson, W. E. L. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868677 · Cited by 3,248
A Trainable System for Object Detection
Papageorgiou, C., & Poggio, T. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008162616689 · Cited by 1,289
Pedestrian detection using wavelet templates
Oren, M., Papageorgiou, C., Sinha, P., Osuna, E., & Poggio, T. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609319 · Cited by 695
Counting Crowded Moving Objects
Rabaud, V., & Belongie, S. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.92 · Cited by 410
Estimation of number of people in crowded scenes using perspective transformation
Lin, S.-F., Chen, J.-Y., & Chao, H.-X. (2001) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.983420 · Cited by 330
Crowd Density Estimation Using Texture Analysis and Learning
Wu, X., Liang, G., Lee, K. K., & Xu, Y. (2006) · 2006 IEEE International Conference on Robotics and Biomimetics · doi:10.1109/robio.2006.340379 · Cited by 161
Estimating pedestrian counts in groups
Kilambi, P., Ribnick, E., Joshi, A. J., Masoud, O., & Papanikolopoulos, N. P. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.02.003 · Cited by 127
Cited by
Scale Aggregation Network for Accurate and Efficient Crowd Counting
Cao, X., Wang, Z., Zhao, Y., & Su, F. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01228-1_45 · Cited by 733
Feature Mining for Localised Crowd Counting
Chen, K., Loy, C. C., Gong, S., & Xiang, T. (2012) · Procedings of the British Machine Vision Conference 2012 · doi:10.5244/c.26.21 · Cited by 666
Towards Perspective-Free Object Counting with Deep Learning
Oñoro-Rubio, D., & López-Sastre, R. J. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46478-7_38 · Cited by 641
Electronic frog eye: Counting crowd using WiFi
Xi, W., Zhao, J., Li, X.-Y., Zhao, K., Tang, S., Liu, X., & Jiang, Z. (2014) · IEEE INFOCOM 2014 - IEEE Conference on Computer Communications · doi:10.1109/infocom.2014.6847958 · Cited by 398
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Liu, X., van de Weijer, J., & Bagdanov, A. D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00799 · Cited by 308
Metadata
- Authors
- Li, M., Zhang, Z., Huang, K., & Tan, T.
- Venue
- 2008 19th International Conference on Pattern Recognition
- Publisher
- IEEE
- Published
- 2008-12
- Pages
- 1-4
- ISSN
- 1041-3278 (ISSN-L)
- 1051-4651
- OpenAlex
- W2120815373
- Cited by
- 440
- References
- 10
- FWCI
- 4.27
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Li, M., Zhang, Z., Huang, K., & Tan, T. (2008). Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection. 2008 19th International Conference on Pattern Recognition. https://doi.org/10.1109/icpr.2008.4761705
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