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In recent years, most action recognition researches focus on isolated action analysis for short videos, but ignore the issue of continuous action recognition for a long video sequence in real time. This paper proposes a novel approach for human action recognition in a video sequence with whatever length, which, unlike previous works,requires no annotations and no pre-temporal-segmentations.Based on...
In this paper, we investigate the task of human action detection in crowded videos. Different from action analysis in clean scenes, action detection in crowded environments is difficult due to the cluttered backgrounds, high densities of people and partial occlusions. This paper proposes a method for action detection based on masks. No human segmentation or tracking technique is required. To cope...
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