出版社：Japan Society for Fuzzy Theory and Intelligent Informatics
摘要：If groups of visitors in public spaces and commercial facilities can be detected, information depending on the attributes of the groups can be provided, and we can also provide statistics with regards to the usage of the facilities for the owners of the facilities. The features, such as person-to-person distance and gaze direction, are useful for group detection and have been used in a number of works. However, if the scene is crowded or people in a group act separately, the features don’t seem to work well. In this work, we focus on gestures, which indicate the interaction of people, and propose a group detection method using the information of gestures. Experimental results using dataset collected in an actual scene demonstrate gesture information improve the accuracy of group detection, especially the recall rate.
关键词：human action analysis ; group action analysis ; range sensor ; gesture ; machine learning ; feature extraction
