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» Detecting and Tracking Moving Objects for Video Surveillance
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ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
15 years 3 months ago
Moving targets labeling and correspondence over multi-camera surveillance system based on Markov network
In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
Chingchun Huang, Sheng-Jyh Wang
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
16 years 10 days ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
JMM2
2007
212views more  JMM2 2007»
15 years 5 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...
ICRA
2003
IEEE
231views Robotics» more  ICRA 2003»
15 years 11 months ago
Online simultaneous localization and mapping with detection and tracking of moving objects: theory and results from a ground veh
−−−− The simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) problem is not only to solve the SLAM problem in dynamic environ...
Chieh-Chih Wang, Charles E. Thorpe, Sebastian Thru...
ECCV
1992
Springer
16 years 7 months ago
Detecting and Tracking Multiple Moving Objects Using Temporal Integration
Michal Irani, Benny Rousso, Shmuel Peleg