Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
This paper presents a system for video object generation and selective encoding with applications in surveillance, mobile videophones, and automotive industry. Object tracking and...
Alessio Del Bue, Dorin Comaniciu, Visvanathan Rame...
We propose a method for tracking an object from a video sequence of moving background through the use of the proximate distribution densities of the local regions. The discriminati...
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is gener...
Reconstructing transparent objects is a challenging problem. While producing reasonable results for quite complex objects, existing approaches require custom calibration or somewh...
Sai-Kit Yeung, Tai-Pang Wu, Chi-keung Tang, Tony F...