In the paper, we proposed a method for moving human detection in video frames by motion contour matching. Firstly, temporal and spatial difference of frames is calculated and conto...
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
This paper proposes a novel volume-based motion capture method using a bottom-up analysis of volume data and an example topology database of the human body. By using a two-step gra...
This paper describes a method of mirror localization to calibrate a catadioptric imaging system. While the calibration of a catadioptric system includes the estimation of various p...
Computational photography combines plentiful computing, digital sensors, modern optics, actuators, and smart lights to escape the limitations of traditional cameras, enables novel ...
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
This paper presents a novel, automated method to remove partial occlusion from a single image. In particular, we are concerned with occlusions resulting from objects that fall on o...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
Strong temporal correlation between adjacent frames of a video signal has been successfully exploited in standard video compression algorithms. In this work, we show that the tempo...
Camera networks are increasingly being deployed for security. In most of these camera networks, video sequences are captured, transmitted and archived continuously from all cameras...