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 | |
| 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 |
Fingerprint
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Computer Networks and Communications
Cite this
Adaptive background learning for vehicle detection and spatio temporal tracking. / Zhang, Chengcui; Chen, Shu Ching; Shyu, Mei-Ling; Peeta, Srinivas.
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.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptive background learning for vehicle detection and spatio temporal tracking
AU - Zhang, Chengcui
AU - Chen, Shu Ching
AU - Shyu, Mei-Ling
AU - Peeta, Srinivas
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649881364&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649881364&partnerID=8YFLogxK
U2 - 10.1109/ICICS.2003.1292566
DO - 10.1109/ICICS.2003.1292566
M3 - Conference contribution
SN - 0780381858
SN - 9780780381858
VL - 2
SP - 797
EP - 801
BT - 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
PB - Institute of Electrical and Electronics Engineers Inc.
ER -