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This paper proposes a reliable solution to the problem of estimating the motion of a rigid object moving freely in 3D space, through the use of a passive vision system. The feature-based tracking technique builds upon the selection of a consistent set of features and their tracking on a frame-by-frame basis. A thorough investigation is conducted to determine a proper vision system setup, which results...
Region-of-interest (ROI) in multiview video (MW) is different from that of conventional single view video because MW provides three-dimensional perception and makes people more interested in depth discontinuity and pop-out regions. In this paper, we define a novel depth perceptual ROI for MW and discuss four ROI extraction schemes according to temporal and inter-view correlation of the MW. Then, depth...
Driving assistance systems provide either safety or comfort functions. Such systems must evaluate the state of the world and take necessary actions. A preliminary step for evaluating the state of the world is to detect, track and classify scene objects. The classification step becomes especially important in complex urban traffic scenarios. In such scenarios the sensors of choice are vision based,...
Most approaches to vehicle tracking have adopted a single calibrated camera for the task, which leads to an under-conditioned problem. We present a surveillance system for on-line vehicle tracking based on two cameras and structure from motion (SfM). Our surveillance system starts by tracking feature points. A novel matching scheme is proposed that allows a subset of feature points to be corresponded...
In this paper, we proposed a movable hand-held display system which uses a projector to project display content onto an ordinary cardboard which can move freely within the projection area. Such a system can give users greater freedom of control of the display such as the viewing angle and distance. At the same time, the size of the cardboard can be made to a size that fits one's application. A projector-camera...
The tracking and recognition of human motion, action, and events using computer vision has recently gained widespread interest in both academic research and industrial, with much emphasis on real-time systems. This paper presents a fast and accurate method for tracking the motion path of a person from the video stream. The motion data of the people are acquired in possible cases such as occlusion...
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