We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
In this paper, a robust technique is proposed to detect and track a set of twenty-eight prominent facial features under various facial expressions and face orientations in real-ti...
Taking into account these various remarks, our method is composed of four modules: In this article, we describe a new method deA recognition phase allows to accurately detersigned ...
Abstract. The research presented in this paper focuses on real-time image processing for visual servoing, i.e. the positioning of a x-y table by using a camera only instead of enco...
We have designed and implemented a system for real-time detection of 2-D features on a reconfigurable computer based on Field Programmable Gate Arrays (FPGA `s). We envision this ...