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» Detecting and Tracking Moving Objects for Video Surveillance
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ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
14 years 11 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»
15 years 7 months 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
132
Voted
JMM2
2007
212views more  JMM2 2007»
15 years 1 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 6 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 3 months ago
Detecting and Tracking Multiple Moving Objects Using Temporal Integration
Michal Irani, Benny Rousso, Shmuel Peleg