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» Novel Observation Model for Probabilistic Object Tracking
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ICIP
2006
IEEE
14 years 9 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
AINA
2005
IEEE
14 years 1 months ago
A Probabilistic Signal-Strength-Based Evaluation Methodology for Sensor Network Deployment
: The deployment of senor networks have attracted a lot of attention recently. In essence this issue is concerned with how well a sensing field is monitored by sensors to achieve ...
Sheng-Po Kuo, Yu-Chee Tseng, Fang-Jing Wu, Chun-Yu...
IROS
2007
IEEE
85views Robotics» more  IROS 2007»
14 years 2 months ago
Probabilistic map building considering sensor visibility for mobile robot
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
Kazuma Haraguchi, Nobutaka Shimada, Yoshiaki Shira...
ECCV
1998
Springer
14 years 9 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger
CVPR
2005
IEEE
14 years 9 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman