Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-06-17
Computer Science
Computer Vision and Pattern Recognition
Preprint submitted to CVIU, survey paper, 46 pages, 2 figures, 4 tables
Scientific paper
This paper presents a survey of human action recognition approaches based on visual data recorded from a single video camera. We propose an organizing framework which puts in evidence the evolution of the area, with techniques moving from heavily constrained motion capture scenarios towards more challenging, realistic, "in the wild" videos. The proposed organization is based on the representation used as input for the recognition task, emphasizing the hypothesis assumed and thus, the constraints imposed on the type of video that each technique is able to address. Expliciting the hypothesis and constraints makes the framework particularly useful to select a method, given an application. Another advantage of the proposed organization is that it allows categorizing newest approaches seamlessly with traditional ones, while providing an insightful perspective of the evolution of the action recognition task up to now. That perspective is the basis for the discussion in the end of the paper, where we also present the main open issues in the area.
Brandão Lopes Ana Paula
de Almeida Jussara Marques
de Araújo Arnaldo Albuquerque
Valle Eduardo Alves do Jr.
No associations
LandOfFree
Action Recognition in Videos: from Motion Capture Labs to the Web does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Action Recognition in Videos: from Motion Capture Labs to the Web, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Action Recognition in Videos: from Motion Capture Labs to the Web will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-552390