Abstract
In this paper, we develop an image based tracking algorithm of multiple vehicles focused to effective detection and segmentation of moving objects for tracking under poor environmental conditions. In particular, we propose a novel image-tracking algorithm aimed at being robust to occlusion, false alarms, missed detection, and partial or multiple detection of target objects, adverse conditions considered as important issues in Intelligent Transportation System (ITS). Upon applying the Retinex algorithm as preprocessing to reduce the illumination effects at nighttime images, we apply a two-step tracking procedure, performing regional search and track. A regional estimation is first achieved based on a gating using probability data association, to initiate the search. We then invoke an object-oriented multiprocessing for multiple vehicle tracking under poor conditions. Representative experimental results show that the proposed method is effective in CCD images.
| Original language | English |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 4 |
| Publication status | Published - 2002 |
| Event | 2002 IEEE International Conference on Acoustic, Speech, and Signal Processing - Orlando, FL, United States Duration: 2002 May 13 → 2002 May 17 |
Other
| Other | 2002 IEEE International Conference on Acoustic, Speech, and Signal Processing |
|---|---|
| Country | United States |
| City | Orlando, FL |
| Period | 02/5/13 → 02/5/17 |
Fingerprint
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Acoustics and Ultrasonics
Cite this
Multiple vehicle tracking based on regional estimation in nighttime CCD images. / Lee, Ilkwang; Ko, Hanseok; Han, David K.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 4 2002.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multiple vehicle tracking based on regional estimation in nighttime CCD images
AU - Lee, Ilkwang
AU - Ko, Hanseok
AU - Han, David K.
PY - 2002
Y1 - 2002
N2 - In this paper, we develop an image based tracking algorithm of multiple vehicles focused to effective detection and segmentation of moving objects for tracking under poor environmental conditions. In particular, we propose a novel image-tracking algorithm aimed at being robust to occlusion, false alarms, missed detection, and partial or multiple detection of target objects, adverse conditions considered as important issues in Intelligent Transportation System (ITS). Upon applying the Retinex algorithm as preprocessing to reduce the illumination effects at nighttime images, we apply a two-step tracking procedure, performing regional search and track. A regional estimation is first achieved based on a gating using probability data association, to initiate the search. We then invoke an object-oriented multiprocessing for multiple vehicle tracking under poor conditions. Representative experimental results show that the proposed method is effective in CCD images.
AB - In this paper, we develop an image based tracking algorithm of multiple vehicles focused to effective detection and segmentation of moving objects for tracking under poor environmental conditions. In particular, we propose a novel image-tracking algorithm aimed at being robust to occlusion, false alarms, missed detection, and partial or multiple detection of target objects, adverse conditions considered as important issues in Intelligent Transportation System (ITS). Upon applying the Retinex algorithm as preprocessing to reduce the illumination effects at nighttime images, we apply a two-step tracking procedure, performing regional search and track. A regional estimation is first achieved based on a gating using probability data association, to initiate the search. We then invoke an object-oriented multiprocessing for multiple vehicle tracking under poor conditions. Representative experimental results show that the proposed method is effective in CCD images.
UR - http://www.scopus.com/inward/record.url?scp=2342582407&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2342582407&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:2342582407
VL - 4
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -