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» Probabilistic Motion Sequence Generation
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CVIU
2006
142views more  CVIU 2006»
13 years 11 months ago
Robust target detection and tracking through integration of motion, color, and geometry
Vision-based tracking is a basic elementary task in many computer vision-based applications such as video surveillance and monitoring, sensing and navigation in robotics, video co...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
WAPCV
2007
Springer
14 years 5 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
ICCV
2003
IEEE
14 years 4 months ago
Modeling Textured Motion : Particle, Wave and Sketch
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
Yizhou Wang, Song Chun Zhu
IROS
2007
IEEE
131views Robotics» more  IROS 2007»
14 years 5 months ago
A hybrid approach for complete motion planning
Abstract— We present an efficient algorithm for complete motion planning that combines approximate cell decomposition (ACD) with probabilistic roadmaps (PRM). Our approach uses ...
Liangjun Zhang, Young J. Kim, Dinesh Manocha
ICPR
2004
IEEE
14 years 12 months ago
Parallelizing Motion Segmentation by Perceptual Organization of XYT
The front end of many motion analysis algorithms is usually a process that generates bounding boxes around each moving object, roughly segmenting the objects from the background. ...
Daniel Majchrzak, Sudeep Sarkar