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» Tracking Objects to Detect Feature Dependencies
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ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
14 years 1 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
IEEECGIV
2007
IEEE
14 years 1 months ago
A Novel Approach for Change Detection in Remote Sensing Image Based on Saliency Map
Detecting change of remote sensing images is very important for some applications such as tracking of moving objects and motion estimation. Traditional work on change detection ha...
Minghui Tian, Shouhong Wan, Lihua Yue
CLEAR
2006
Springer
133views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Multi-feature Graph-Based Object Tracking
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
Murtaza Taj, Emilio Maggio, Andrea Cavallaro
ICIP
2009
IEEE
13 years 5 months ago
Object detection and tracking for night surveillance based on salient contrast analysis
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tien...
ACCV
2010
Springer
13 years 2 months ago
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
Steve Gu, Ying Zheng, Carlo Tomasi