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» Results Merging Algorithm Using Multiple Regression Models
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ECAI
2004
Springer
15 years 7 months ago
Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects
We present a framework for annotating dynamic scenes involving occlusion and other uncertainties. Our system comprises an object tracker, an object classifier and an algorithm for...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
SIBGRAPI
2007
IEEE
15 years 8 months ago
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, ...
Wesley Nunes Gonçalves, João Bosco O...
CA
2003
IEEE
15 years 7 months ago
Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
Sylvie Gibet, Pierre-Francois Marteau
96
Voted
IVC
2006
99views more  IVC 2006»
15 years 2 months ago
People tracking in surveillance applications
This paper presents a real-time algorithm that allows robust tracking of multiple objects in complex environments. Foreground pixels are detected using luminance contrast and grou...
Luis M. Fuentes, Sergio A. Velastin
ECCV
2006
Springer
15 years 6 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar