Adaptive background learning for vehicle detection and spatio temporal tracking

Chengcui Zhang; Shu Ching Chen; Mei-Ling Shyu; Srinivas Peeta

doi:10.1109/ICICS.2003.1292566

Adaptive background learning for vehicle detection and spatio temporal tracking

Chengcui Zhang, Shu Ching Chen, Mei-Ling Shyu, Srinivas Peeta

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Scopus citations

Abstract

Traffic video analysis can provide a wide range of useful information such as vehicle identification, traffic flow, to traffic planners. In this paper, a framework is proposed to analyze the traffic video sequence using unsupervised vehicle detection and spatio-temporal tracking that includes an image/video segmentation method, a background learning/subtraction method and an object tracking algorithm. A real-life traffic video sequence from a road intersection is used in our study and the experimental results show that our proposed unsupervised framework is effective in vehicle tracking for complex traffic situations.

Original language	English (US)
Title of host publication	ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	797-801
Number of pages	5
Volume	2
ISBN (Print)	0780381858, 9780780381858
DOIs	https://doi.org/10.1109/ICICS.2003.1292566
State	Published - 2003
Event	Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia, ICICS-PCM 2003 - Singapore, Singapore Duration: Dec 15 2003 → Dec 18 2003

Other

Other	Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia, ICICS-PCM 2003
Country	Singapore
City	Singapore
Period	12/15/03 → 12/18/03

ASJC Scopus subject areas

Signal Processing
Media Technology
Computer Networks and Communications

Cite this

Zhang, C., Chen, S. C., Shyu, M-L., & Peeta, S. (2003). Adaptive background learning for vehicle detection and spatio temporal tracking. In ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia (Vol. 2, pp. 797-801). [1292566] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICS.2003.1292566

Zhang, C, Chen, SC, Shyu, M-L & Peeta, S 2003, Adaptive background learning for vehicle detection and spatio temporal tracking. in ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia. vol. 2, 1292566, Institute of Electrical and Electronics Engineers Inc., pp. 797-801, Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia, ICICS-PCM 2003, Singapore, Singapore, 12/15/03. https://doi.org/10.1109/ICICS.2003.1292566

Zhang C, Chen SC, Shyu M-L, Peeta S. Adaptive background learning for vehicle detection and spatio temporal tracking. In ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia. Vol. 2. Institute of Electrical and Electronics Engineers Inc. 2003. p. 797-801. 1292566 https://doi.org/10.1109/ICICS.2003.1292566

Zhang, Chengcui ; Chen, Shu Ching ; Shyu, Mei-Ling ; Peeta, Srinivas. / Adaptive background learning for vehicle detection and spatio temporal tracking. ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 2003. pp. 797-801

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Access to Document

10.1109/ICICS.2003.1292566