Robust Human Tracking Based on DPM Constrained Multiple-Kernel from a Moving Camera-Reference-Cited by-同舟云学术

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Robust Human Tracking Based on DPM Constrained Multiple-Kernel from a Moving Camera

Published:2015-12-19 Issue:1 Volume:86 Page:27-39
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Hou Li,Wan Wanggen,Lee Kuan-Hui,Hwang Jenq-Neng,Okopal Greg,Pitton James

Funder

National High Technology Research and Development Program of China (863 Program)

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-015-1097-y.pdf

Reference33 articles.

1. Yilmaz, A., Javed, O., & Shah, M. (2006). Object tracking: a survey. ACM Computing Surveys, 38(4), 1–45.

2. Gerόnimo, D., Lόpez, A. M., Sappa, A. D., & Graf, T. (2010). Survey of pedestrian detection for advanced driver assistance systems. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(7), 1239–1258.

3. Comaniciu, D., & Meer, P. (2002). Mean shift: a robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5), 603–619.

4. Comaniciu, D., Ramesh, V., & Meer, P. (2003). Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5), 564–577.

5. Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010). Object detection with discriminatively trained part-based models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), 1627–1645.

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2. Pedestrian Detection and Tracking in Video Surveillance System: Issues, Comprehensive Review, and Challenges;Recent Trends in Computational Intelligence;2020-05-06

3. Pedestrian detection using a moving camera: A novel framework for foreground detection;Cognitive Systems Research;2020-05

4. Video Analytics for Visual Surveillance and Applications: An Overview and Survey;Learning and Analytics in Intelligent Systems;2019

5. Small Object Detection with Multiscale Features;International Journal of Digital Multimedia Broadcasting;2018-09-30

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