TY - CHAP
T1 - A new tracking technique
T2 - Object tracking and identification from motion
AU - Chen, Terrence
AU - Han, Mei
AU - Hua, Wei
AU - Gong, Yihong
AU - Huang, Thomas S.
PY - 2003
Y1 - 2003
N2 - Pattern recognition and object tracking play very important roles in various applications, such as motion capture, object detection/recognition, video surveillance, and human computer interface. One very useful method that is rarely mentioned in literature is performing recognition from the motion cue. In many situations, the motion of an object is very representative and informative; therefore, it is possible to identify the object and its behavior from its motion. In this paper, we propose an original method to both identify and track an object in dynamic scenes. The method works on the situations with occlusions, appearance changes and global camera motions. It does not require prior segmentation or initialization. We test this method on a video database containing 18 World Cup soccer videos recorded from TV to detect and track the soccer ball. The results are satisfying. The results are also integrated into a video indexing system and the improvement on video retrieval is described.
AB - Pattern recognition and object tracking play very important roles in various applications, such as motion capture, object detection/recognition, video surveillance, and human computer interface. One very useful method that is rarely mentioned in literature is performing recognition from the motion cue. In many situations, the motion of an object is very representative and informative; therefore, it is possible to identify the object and its behavior from its motion. In this paper, we propose an original method to both identify and track an object in dynamic scenes. The method works on the situations with occlusions, appearance changes and global camera motions. It does not require prior segmentation or initialization. We test this method on a video database containing 18 World Cup soccer videos recorded from TV to detect and track the soccer ball. The results are satisfying. The results are also integrated into a video indexing system and the improvement on video retrieval is described.
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U2 - 10.1007/978-3-540-45179-2_20
DO - 10.1007/978-3-540-45179-2_20
M3 - Chapter
AN - SCOPUS:35248845001
SN - 3540407308
SN - 9783540407300
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 157
EP - 164
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Petkov, Nicolai
A2 - Westenberg, Michel A.
PB - Springer
ER -