Abstract— Map information is important for path planning and self-localization when mobile robots accomplish autonomous tasks. In unknown environments, mobile robots should gener...
We propose a novel system-level error tolerance approach specifically targeted for multimedia compression algorithms. In particular we focus on the motion estimation process perf...
This paper presents a novel technique for 2D human motion estimation using a single non calibrated camera. The user’s five crucial human features (head, hands and feet) are ext...
Pedro Correa, Jacek Czyz, Toshiyuki Umeda, Ferran ...
Motion Estimation (ME) is the most computationally intensive and the most power consuming part of video compression and video enhancement systems. In this paper, we propose a nove...
Caglar Kalaycioglu, Onur C. Ulusel, Ilker Hamzaogl...
The paper presents a hardware friendly fast algorithm and its architecture for motion estimation (ME) in H.264 video coding. The fast algorithm adopts the quarter pel subsampling a...