Comparing Video Activity Classifiers within a Novel Framework

Electronics

Bence Budavari¹  Bulent Ayhan¹  Chiman Kwan¹ 

[1] Applied Research LLC, Rockville, MD 20850, USA;

关键词: video event classification;    object detection;    object tracking;    VideoGraph;    rule-based approach;    hybrid approach;   

DOI  :  10.3390/electronics9091545

来源: DOAJ

【 摘 要 】

Video activity classification has many applications. It is challenging because of the diverse characteristics of different events. In this paper, we examined different approaches to event classification within a general framework for video activity detection and classification. In our experiments, we focused on event classification in which we explored a deep learning-based approach, a rule-based approach, and a hybrid combination of the previous two approaches. Experimental results using the well-known Video Image Retrieval and Analysis Tool (VIRAT) database showed that the proposed classification approaches within the framework are promising and more research is needed in this area

【 授权许可】

Unknown