Vision-based crowd pedestrian detection

Shih Shinh Huang, Feng Chia Chang, You Chen Liu, Pei Yung Hsiao, Hong Fa Ho

研究成果: 書貢獻/報告類型會議貢獻

摘要

This paper proposes a crowd pedestrian detection based on monocular vision. To handle with the challenges faced in crowded scenes, such as occlusion, this study combines multiple cues to detect individuals in the observed image. Based on the assumptions that the human head is generally visible and background scene is stationary, all circular regions in the segmented foreground mask are firstly extracted by an algorithm called circle Hough transform (CHT). Each circle is then considered as the head candidate and further verified whether it is exactly an individual or a false one by combining multiple cues. Matching a candidate to a several constructed pedestrian templates is firstly applied for verification. Then, two proposed cues called head foreground contrast (HFC) and block color relation (BCR) are incorporated for further verification. In the experiment, three videos are used to validate the proposed method and the results show that the proposed one lowers the false positives at the expense of little detection rate.

原文英語
主出版物標題2015 IEEE International Conference on Digital Signal Processing, DSP 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面878-881
頁數4
ISBN(電子)9781479980581, 9781479980581
DOIs
出版狀態已發佈 - 2015 九月 9
事件IEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, 新加坡
持續時間: 2015 七月 212015 七月 24

出版系列

名字International Conference on Digital Signal Processing, DSP
2015-September

其他

其他IEEE International Conference on Digital Signal Processing, DSP 2015
國家新加坡
城市Singapore
期間15/7/2115/7/24

ASJC Scopus subject areas

  • Signal Processing

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  • 引用此

    Huang, S. S., Chang, F. C., Liu, Y. C., Hsiao, P. Y., & Ho, H. F. (2015). Vision-based crowd pedestrian detection. 於 2015 IEEE International Conference on Digital Signal Processing, DSP 2015 (頁 878-881). [7252002] (International Conference on Digital Signal Processing, DSP; 卷 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDSP.2015.7252002