Journal
SENSORS
Volume 19, Issue 14, Pages -Publisher
MDPI
DOI: 10.3390/s19143160
Keywords
activity recognition; computer vision; optical flow; deep learning
Funding
- Basque Government, Spain [IT900-16]
- Spanish Ministry of Economy and Competitiveness [RTI2018-093337-B-I00]
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Video activity recognition, although being an emerging task, has been the subject of important research efforts due to the importance of its everyday applications. Surveillance by video cameras could benefit greatly by advances in this field. In the area of robotics, the tasks of autonomous navigation or social interaction could also take advantage of the knowledge extracted from live video recording. The aim of this paper is to survey the state-of-the-art techniques for video activity recognition while at the same time mentioning other techniques used for the same task that the research community has known for several years. For each of the analyzed methods, its contribution over previous works and the proposed approach performance are discussed.
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