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» A Variational Approach for Object Contour Tracking
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ICCV
1999
IEEE
13 years 12 months ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche
CVPR
2005
IEEE
14 years 9 months ago
Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers
This paper presents a decentralized approach to multiple target tracking. The novelty of this approach lies in the use of a set of autonomous while collaborative trackers to overc...
Ting Yu, Ying Wu
PAMI
2011
13 years 2 months ago
Learning a Family of Detectors via Multiplicative Kernels
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
CVPR
2003
IEEE
14 years 9 months ago
Using Multiple Cues for Hand Tracking and Model Refinement
We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and model refinement. We then apply it to the problem...
Shan Lu, Dimitris N. Metaxas, Dimitris Samaras, Jo...
SIBGRAPI
2005
IEEE
14 years 1 months ago
Particle Filter-Based Predictive Tracking for Robust Fish Counting
In this paper we study the use of computer vision techniques for for underwater visual tracking and counting of fishes in vivo. The methodology is based on the application of a B...
Erikson F. Morais, Mario Fernando Montenegro Campo...