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This paper presents a general algorithm to track the line on the ground based on computer vision, which utilizes Raspberry Pi 2 to complete the image processing. The algorithm accomplishes image processing firstly, then recognizes the line by edge detection and scanning model. The proposed algorithm can be used in a variety of platforms including intelligent car system, robot platform, UAV platform...
In this paper, a rule-based hierarchical approach is proposed for video parsing in the compressed domain. In this approach, three core factors of video parsing that is feature space, discontinuity metric and decision rule are stressed to improve the parsing performance. Firstly, the PCA-based feature is extracted in the compressed domain as the input of the framework, which shows superior performance...
In this paper, we propose a fast and accurate video retrieval algorithm using random projections, an indexing structure and parallel computing. The video sequences are represented by low dimensional temporal trajectories in a set of low dimensional spaces through scaling and random projections. A kd-tree structure is used for efficient data access. We also develop an efficient retrieval algorithm...
A novel automatic real-time video parsing framework for gradual transition based on principal component analysis is presented. In this framework, three core factors of video parsing that is feature space, discontinuity metric and decision rule are stressed to improve the parsing performance. Through this PCA-based framework, the negative influence of significant camera or objects movement to the gradual...
With the proliferation of small-display mobile devices, the video sequences which are captured for normal size screen, may give small-display viewers uncomfortable experience, especially for some kinds of sports videos. We focus on soccer video, and propose to establish a saliency binary map and several character rules to detect the ball and decide the region-of-interest accordingly. Experimental...
Despite a lot of research efforts, it is still challenging to detect the ball in soccer video, especially in long shot frames. In this paper, we propose a novel real time ball detection framework for broadcast soccer video in long shot frames. Firstly each frame of the video is preprocessed to remove the regions outside ground field and build a saliency binary map. Then, the ball candidates are detected...
Efficient indexing is a key in content-based video retrieval solutions. In this paper we propose a new dynamic indexing scheme based on the kd-tree structure. Video sequences are first represented as traces in an appropriate low dimensional space via luminance field scaling and PCA projection. Then, the indexing scheme is applied to give the video database a manageable structure. Being able to handle...
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