Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed Video Surveillance System

Abstract

In this paper, a new framework of hybrid mobile-fixed video surveillance system (HMFVSS) is introduced. The purpose of this framework is to overcome common problems of existing mobile or fixed video surveillance systems: (1) moral harassment: due to unfriendly or unnaturally installed mobile sensors, and (2) blind areas: due to narrow-scope moving of fixed cameras. A case study of abandoned object's owner alert system (AOOAS) is also presented to emphasize the framework's advantages. IP cameras and "Spyglass" (i.e. a mobile camera embedded on glasses) are used as fixed and mobile sensors, respectively. There are three main tasks are inherited, developed, and integrated: (1) image registration for automatically locating abandoned object, (2) common histogram based abandoned object's owner detection, and (3) faces recognition. The experimental results with careful evaluation and comparison with others shows that the proposed framework moves a step ahead in video surveillance system.