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Pedestrian detection is a challenging problem studied over decades. Most algorithms are based on human appearance. Only few works consider motion as a feature component. In this paper, however, we tackle this problem only considering short periods of pedestrian walking. This motion does not depend on the variations of pedestrian pose, body shape, illumination, and background. We model pedestrian motion...
This paper visualizes surveillance video contents effectively in a 2D temporal image for indexing and retrieving a large video database. As an intermediate representation, this work extracts a temporal profile from video to convey accurate temporal information while keeps certain spatial characteristics for recognition. Different from spatial video indexing such as video synopsis that montages video...
Surveillance videos are recorded pervasively and their retrieval currently still relies on human operators. As an intermediate representation, this work develops a new temporal profile of video to convey accurate temporal information in the video while keeping certain spatial characteristics of targets of interest for recognition. The profile is obtained at critical positions where major target flow...
Nowadays, many vehicles are equipped with a vehicle borne camera system for monitoring drivers' behavior, accident investigation, road environment assessment, and vehicle safety design. Huge amount of video data is being recorded daily. Analyzing and interpreting these data in an efficient way has become a non-trivial task. As an index of video for quick browsing, this work maps the video into a temporal...
Numerous videos are uploaded on video websites; most of them employ several kinds of camera operations for expanding FOV, emphasizing events, and expressing cinematic effect. To generate a profile of heterogeneous types of videos, an automatic video profiling method has been proposed to include both spatial and temporal information in a 2D image scroll. In this paper, we propose a uniformed scheme...
Extracting invariable features is one key issue for 3D model searching. A novel invariable feature extraction method, namely geometry projection based histogram model, is proposed for 3D model description. Different from the traditional method, one projection plane (or surface) is created for each 3D model, and the points of 3D models are projected to the projection plane (or surface), and then the...
On a moving vehicle, speedy motion extraction from video is demanded. Different from the traditional motion estimation methods that track or match 2D features in consecutive motion-blurred images, this work explores a novel approach to find motion without explicit shape analysis. We take spatial integration of intensities in each frame and the obtained consecutive profiles provide distinct motion...
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