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Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically fail when applied to sequences of images strongly affected by motion blur. In this paper, we propose a new feature detection and tracking scheme that is robust even to non-uniform motion blur. Furthermore, we developed a framework...
Tracking and counting multiple humans in complex situations is challenging. The difficulties are tackled with appropriate knowledge in the form of various models in our approach. Human motion is decomposed into its global motion and limb motion. Multiple human objects were segmented and their global motions were tracked in 3D using ellipsoid human shape models. An improved method aiming to estimate...
A robust approach to detection and tracking of multiple moving targets from a moving camera is presented. The main novelty of this approach is that objects are represented using efficient compact form of the colour correlogram. Like previous correlograms, this encodes both spatial pattern and appearance information about the target. However it is less complex to compute, making it applicable to real...
We propose an automatic method to geo-register maritime video feeds to satellite images. The method first detects horizon during the day time and apex during the night time for similarity rectification. It then finds water pixels on both satellite images and camera views. Finally, geo-registration is obtained by searching the best orientation where the water masks are matched. The current state-art-of-state...
This paper describes an approach to tracking multiple independently moving objects observed from moving cameras. The method addresses difficulties typically associated with tracking, including changes in background, parallax in the scene, arbitrary camera motion, object occlusions, cross-overs, and appearance changes. Using a bottom up approach, independently moving objects are detected in images...
This paper designs a new navigation system for automatic guided vehicle (AGV). The system uses the CCD camera in front of the AGV to recognize and track the sign line on the ground, and to extract the position and the direction of the sign line. At the same time, the wheel encoders are used to get the running distance of the AGV finally, the DR algorithm can use the direction and the distance to calculate...
This paper focuses on two aspects of a human robot interaction scenario: Detection and tracking of moving objects, e.g., persons is necessary for localizing possible interaction partners and reconstruction of the surroundings can be used for navigation purposes and room categorization. Although these processes can be addressed independent from each other, we show that using the available data in exchange...
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