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» Tracking Motion-Blurred Targets in Video
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ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 7 months ago
Probabilistic target detection by camera-equipped UAVs
— This paper is motivated by the real world problem of search and rescue by unmanned aerial vehicles (UAVs). We consider the problem of tracking a static target from a bird’sey...
Andrew Colquhoun Symington, Sonia Waharte, Simon J...
ICIP
2005
IEEE
14 years 10 months ago
Tracking multiple cells by correspondence resolution in a sequential Bayesian framework
We propose a multi-target tracking (MTT) algorithm in a sequential Bayesian framework that computes cell velocities from video microscopy. Unlike the traditional tracking methods,...
Nilanjan Ray, Gang Dong, Scott T. Acton
WACV
2008
IEEE
14 years 3 months ago
Tracking Down Under: Following the Satin Bowerbird
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of ...
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, D...
CVPR
2006
IEEE
14 years 10 months ago
Intelligent Collaborative Tracking by Mining Auxiliary Objects
Many tracking methods face a fundamental dilemma in practice: tracking has to be computationally efficient but verifying if or not the tracker is following the true target tends t...
Ming Yang, Ying Wu, Shihong Lao
CVPR
2011
IEEE
13 years 4 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto