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ECCV
2004
Springer
15 years 3 months ago
Multi-model Component-Based Tracking Using Robust Information Fusion
Abstract. One of the most difficult aspects of visual object tracking is the handling of occlusions and target appearance changes due to variations in illumination and viewing dir...
Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xi...
CGI
2006
IEEE
15 years 3 months ago
Controllable Multi-phase Smoke with Lagrangian Particles
This paper describes a method for controlling the multi-phase smoke animation that uses Lagrangian particles. Previous methods need several density fields to simulate different typ...
Byung-Seok Roh, Chang-Hun Kim
CHI
2007
ACM
15 years 10 months ago
Endpoint prediction using motion kinematics
Recently proposed novel interaction techniques such as cursor jumping [1] and target expansion for tiled arrangements [13] are predicated on an ability to effectively estimate the...
Edward Lank, Yi-Chun Nikko Cheng, Jaime Ruiz

Publication
195views
15 years 5 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel intensity values towards representations that explicitly and compactly ca...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos
ATAL
2006
Springer
15 years 1 months ago
Multi-model motion tracking under multiple team member actuators
Autonomous robots need to track objects. Object tracking relies on predefined robot motion and sensory models. Tracking is particularly challenging if the robots can actuate on th...
Yang Gu, Manuela M. Veloso