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3D Human articulated pose recovery from monocular image sequences is very challenging due to the diverse appearances, viewpoints, occlusions, and also the human 3D pose is inherently ambiguous from the monocular imagery. It is thus critical to exploit rich spatial and temporal long-range dependencies among body joints for accurate 3D pose sequence prediction. Existing approaches usually manually design...
This paper develops a path planning simulation method in AGI software platform for multirotor UAVs in a 3D environment with avoiding the obstacles is presented. A multi-RRT (rapidly exploring random tree, RRT) algorithm is applied to compute the preliminary flight paths.
Two-DOF barycenter mechanism and its control are proposed. The mechanism by means of the moved balancing masses along two axes changes the center of gravity of fish's body. The projected torques on x and y axes propel pitch and roll angles to the desired values. Merging the pitching and rolling models with fish-tail and rigid-body models, the fish robot motion and maneuverability can be achieved in...
Human action recognition and localization is a challenging vision task with promising applications. To tackle this problem, recently developed commodity depth sensor (e.g., Microsoft Kinect) has opened up new opportunities with several developed human motion features based on depth image for action representation. However, how depth information can be effectively adopted in the middle or high level...
Content-based vehicle retrieval in unconstrained environment plays an important role in surveillance systems. However, due to large variations in viewing angle/position, illumination, occlusion, and background, traditional vehicle retrieval is extremely challenging. We approach this problem in a different way by rectifying vehicles from disparate views into the same reference view and searching the...
Content-based vehicle retrieval in unconstrained environment plays an important role in surveillance system. However, due to large variations in viewing angle/position, illumination, and background, traditional vehicle retrieval is extremely challenging. We approach this problem in a different way by rectifying vehicles from disparate views into the same reference view and searching the vehicles based...
Inspirited by the human vision mechanism, this paper discusses a hierarchical grammar model for 3D inference of man-made object from a single image. This model decomposes an object with two layers: (i) 3D parts (primitives) with 3D spatial relationship and (ii) 2D aspects with prediction (production) rules. Thus each object is represented by a set of co-related 3D primitives that are generated by...
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