We present a change detection method resistant to global and local illumination variations for use in visual surveillance scenarios. Approaches designed thus far for robustness to...
: Reliably recognizing objects approaching on a collision course is extremely important. In this paper, a synthetic vision system is proposed to tackle the problem of collision rec...
Background: The customary medicinal plant knowledge possessed by the Australian Aboriginal people is a significant resource. Published information on it is scattered throughout th...
Currently 3D animation rendering and video compression are completely independent processes even if rendered frames are streamed on-the-fly within a client-server platform. In suc...
Robert Herzog, Shin-ichi Kinuwaki, Karol Myszkowsk...
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...