The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited...
Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli
Most current object modeling methods and tools have weaknesses both in the concepts of hierarchical decomposition and in the visualization of these hierarchies. Some methods do no...
Stefan Berner, Stefan Joos, Martin Glinz, Martin A...
Object recognition systems aiming to work in real world settings should use multiple cues in order to achieve robustness. We present a new cue integration scheme which extends the...
This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...
This paper presents a conceptual framework and a process model for feature extraction and iconic visualization. Fearaction is viewed as a process of data abstraction, which can pr...
Frank J. Post, Theo van Walsum, Frits H. Post, Deb...