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Video stabilization helps eliminate unwanted camera motion, yet it also introduces missing regions near the edge of the frame. We outline a new method for the completion of stabilized video using a block based approach. Building upon macroblock recovery techniques, candidate blocks are chosen using the nearby motion vectors of blocks at the edge of the original frame. Then, the candidate blocks with...
In public venues, crowd size is a key indicator of crowd safety and stability. In this paper we propose a crowd counting algorithm that uses tracking and local features to count the number of people in each group as represented by a foreground blob segment, so that the total crowd estimate is the sum of the group sizes. Tracking is employed to improve the robustness of the estimate, by analysing the...
This paper describes the development of an Unmanned Aerial Vehicle (UAV) with the aid of a vision processing system for indoor navigation. A co-axial radio-controlled (RC) helicopter is upgraded with a customized on-board avionics system which include two Gumstix Linux computer systems as the on-board processors. A camera module is used to capture real time video during the flight to perform real...
Data communication between mobile security robots over the network is an important component in a surveillance system. Because of limited bandwidth, transmission delay, and package loss, real-time video transmission may pose some challenges. In this paper, three steps of image data reduction before transmission are proposed and discussed in detail. The first one is temporal sampling, which selects...
Static occlusions are a common impediment to successful object tracking in many realistic scenes. Knowledge about the locations of occlusions in the field of view of video cameras can allow tracking algorithms to successfully handle occlusion events. We present a simple and efficient rule-based method for finding large, rigid occluders in a scene by analysis of images from a single camera. Pixels...
Camera motion estimation is important for video semantic analysis and video classification. Camera motion can be classified into several classes: camera rotation, camera translation, and camera zoom, but ordinarily we consider only camera translation and camera zoom. Traditional approaches for camera motion parameters estimation is features-based, and they are dependent on the image quality and image...
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