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» Clustering Moving Objects via Medoid Clusterings
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CVPR
2007
IEEE
14 years 9 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
14 years 1 months ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard
IAT
2006
IEEE
14 years 1 months ago
A Storage Management for Mining Object Moving Patterns in Object Tracking Sensor Networks
One promising application of sensor networks is object tracking. Because the movements of the tracked objects usually show repeating patterns, we propose a heterogeneous tracking ...
Chih-Chieh Hung, Wen-Chih Peng
ICIP
2006
IEEE
14 years 1 months ago
Recursive Clustering for Multiple Object Tracking
In this paper, we propose a method to track multiple deformable objects in video sequences using a recursive clustering scheme. In a first step, a set of Gabor filter banks is u...
Séverine Dubuisson
ISBI
2004
IEEE
14 years 8 months ago
Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching
Diffeomorphic non-rigid registration of shapes is a very difficult problem. We use the point-set representation for shapes since statistical shape analysis in this space is relati...
Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Lau...