Abstract
We present a method for detecting and tracking multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information (i.e. the temporal color) for robust medium-term people tracking. The temporal color is the set of pairs of a color value and its associated weights. The weight is related to the size, duration and frequency of appearance of the color region, as well as the number of people adjacent to the target person. It assures our system to continuously track people moving in a group with occlusion. Most systems have built an appearance model for each person to solve occlusion problems. The appearance model contains certain information on the target person - color, shape, texture, position, velocity and face pattern. We use temporal color in the appearance model for the identification of the people occluded or out of sight in the scene upon their reappearance. Experimental results show that the temporal color is more stable than shape or intensity in various cases.
| Original language | English |
|---|---|
| Pages (from-to) | 931-949 |
| Number of pages | 19 |
| Journal | International Journal of Pattern Recognition and Artificial Intelligence |
| Volume | 17 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2003 Sep 1 |
Fingerprint
Keywords
- Appearance model
- Human activity recognition
- Multiple object tracking
- Multiple people detection
- Temporal color
- Visual surveillance
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
Cite this
Multiple people tracking based on temporal color feature. / Kang, Seonghoon; Hwang, Bon W.; Lee, Seong Whan.
In: International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, No. 6, 01.09.2003, p. 931-949.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multiple people tracking based on temporal color feature
AU - Kang, Seonghoon
AU - Hwang, Bon W.
AU - Lee, Seong Whan
PY - 2003/9/1
Y1 - 2003/9/1
N2 - We present a method for detecting and tracking multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information (i.e. the temporal color) for robust medium-term people tracking. The temporal color is the set of pairs of a color value and its associated weights. The weight is related to the size, duration and frequency of appearance of the color region, as well as the number of people adjacent to the target person. It assures our system to continuously track people moving in a group with occlusion. Most systems have built an appearance model for each person to solve occlusion problems. The appearance model contains certain information on the target person - color, shape, texture, position, velocity and face pattern. We use temporal color in the appearance model for the identification of the people occluded or out of sight in the scene upon their reappearance. Experimental results show that the temporal color is more stable than shape or intensity in various cases.
AB - We present a method for detecting and tracking multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information (i.e. the temporal color) for robust medium-term people tracking. The temporal color is the set of pairs of a color value and its associated weights. The weight is related to the size, duration and frequency of appearance of the color region, as well as the number of people adjacent to the target person. It assures our system to continuously track people moving in a group with occlusion. Most systems have built an appearance model for each person to solve occlusion problems. The appearance model contains certain information on the target person - color, shape, texture, position, velocity and face pattern. We use temporal color in the appearance model for the identification of the people occluded or out of sight in the scene upon their reappearance. Experimental results show that the temporal color is more stable than shape or intensity in various cases.
KW - Appearance model
KW - Human activity recognition
KW - Multiple object tracking
KW - Multiple people detection
KW - Temporal color
KW - Visual surveillance
UR - http://www.scopus.com/inward/record.url?scp=0142118209&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0142118209&partnerID=8YFLogxK
U2 - 10.1142/S0218001403002708
DO - 10.1142/S0218001403002708
M3 - Article
AN - SCOPUS:0142118209
VL - 17
SP - 931
EP - 949
JO - International Journal of Pattern Recognition and Artificial Intelligence
JF - International Journal of Pattern Recognition and Artificial Intelligence
SN - 0218-0014
IS - 6
ER -