Research Article
Monitoring Interactions
@INPROCEEDINGS{10.1007/978-3-319-49616-0_6, author={Felix Mei\`{a}ner and Remco Veltkamp}, title={Monitoring Interactions}, proceedings={Intelligent Technologies for Interactive Entertainment. 8th International Conference, INTETAIN 2016, Utrecht, The Netherlands, June 28--30, 2016, Revised Selected Papers}, proceedings_a={INTETAIN}, year={2017}, month={1}, keywords={Computer vision Video indexing Bag of words Human recognition}, doi={10.1007/978-3-319-49616-0_6} }- Felix Meißner
Remco Veltkamp
Year: 2017
Monitoring Interactions
INTETAIN
Springer
DOI: 10.1007/978-3-319-49616-0_6
Abstract
This work proposes a human interaction recognition based approach to video indexing that represents a video by showing when and with whom was interacted throughout the video. In order to visualize the length of an interaction, it is required to recognize individuals that have been detected in earlier parts of the video. To solve this problem, an approach to photo-clustering is extended to video material by tracking detected faces and using the information from tracking to improve the recognition of human beings. The results of the tracking based approach show a considerable decrease of false cluster assignments compared to the original method. Further, it is demonstrated that the proposed method is able to correctly recognize the appearance of five out of the six individuals correctly.
