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This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main...
Understanding actions is a complex issue in many aspects. However, most of the literature on action recognition deals with only simple actions. In this paper, we proposed the fuzzy qualitative robot kinematics framework to complex actions over time, e.g. walk then run and over the body, walk while wave hand etc. The human limbs is modelled as articulated rigid bodies and its motion is represented...
As viewpoint issue is becoming a bottleneck for human motion analysis and its application, in recent years, researchers have been devoted to view-invariant human motion analysis and have achieved inspiring progress. The challenge here is to find a methodology that can recognize human motion patterns to reach increasingly sophisticated levels of human behavior description. This paper provides a comprehensive...
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