Unusual behavior detection and object ranking from movement trajectories in target regions

ABSTRACT

Unusual behavior detection has been of interest in video analysis, transportation systems, movement trajectories, and so on. In movement trajectories, only a few works identify unusual behavior of objects around pre-defined points of interest (POI), such as surveillance cameras, commercial buildings, etc., that may be interesting for several application domains, mainly for security. In this article, we define new types of unusual behaviors of moving objects in relation to POI, including surround, escape, and return. Based on these types of unusual behavior, we (i) present an algorithm to compute these behaviors, (ii) define a set of functions to weight the degree of unusual behavior of every moving object in the database, and (iii) rank the moving objects according to the degree of unusual behavior in relation to a set of POIs. We evaluate the proposed method with real trajectory data and show that the closest work does not detect the proposed behaviors and ranks objects considering only one type of unusual movement.

KEYWORDS:

• Trajectory unusual behavior
• trajectory avoidance
• trajectory surround
• trajectory escape
• trajectory return
• unusual mobility patterns

Acknowledgments

This work was partially supported by the Brazilian Agency CNPq. The authors thank Alisson Moscato Loy for the code of the Avoidance algorithm.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico;