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Human motion self-occlusion due to motion overlapping in the same region is a daunting task to solve. Various motion-recognition methods either bypass this problem or solve this problem in complex manner. Appearance-based template matching paradigms are simpler and hence faster approaches for activity analysis. In this paper, we concentrate on motion self-occlusion problem due to motion overlapping...
Usually, various motion recognition approaches can not perform well on actions that have variable speeds, or part of the dataset is speedy and vice versa. In this paper, we present the timing issue of our Directional Motion History Image method. This method can solve overwriting or motion self-occlusion problem significantly and thereby it performs well for complex and repetitive activities. However,...
Human motion recognition in low-resolution video is very difficult task because due to low-resolution we miss much significant motion information. In this paper, we demonstrated appearance-based directional motion history image (DMHI) method to recognize various levels of video resolutions. The DMHI technique can overcome the self-occlusion problem that arises from motion overwriting. We found that...
We have presented motion history-based human motion recognition technique with various formats of feature vectors. Since the inception of the motion history image (MHI) template for motion recognition, various progresses have been adopted to improve this basic MHI. Stages of development of appearance-based representation and recognition approach are presented here on the basic motion history-based...
Action and activity representation and recognition are very demanding research area in computer vision and man-machine interaction. Though plenty of researches have been done in this arena, the field is still immature. Over the last decades, extensive research methodologies have been developed on human activity analysis and recognition for various applications. This paper overviews various recent...
Motion overwriting due to motion self-occlusion is a big concern in motion and activity recognition. This paper presents a directional motion recognition approach that can solve the motion overwriting for complex actions or activities. Optical flow is split into four directions to compute motion templates. These templates are used to create feature vectors by Hu moments. Very satisfactory recognition...
This paper presents a noble appearance-based recognition approach of human motion and gestures of several peoplespsila several actions from uncalibrated camera by employing motion history-based representation. It employs the basic motion history image-based and the directional motion history image-based representation and then exploits these motion templates to recognize various motions having more...
This paper proposes a human motion recognition method which is robust against outliers. The basic motion history image (MHI) has been updated considering multi-dimensional history and energy images to calculate the feature vectors for recognizing various complex human motions. The 'rajio-taiso' (Japanese Radio Physical Exercise) has been recognized by employing this method. This exercise was conducted...
A robust human motion recognition method is proposed in this paper. The basic motion history image (MHI) has been updated considering multidimensional history and energy images to calculate the feature vectors for recognizing various complex human motions. The 'rajio-taiso' (Japanese Radio Exercise) has been recognized by employing the method. This exercise was conducted by some non-professionals...
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