Identification of Loitering Human Behaviour in Video Surveillance Environments

Abstract

Abstract. Loitering is a common behaviour of the elderly people. We goal is develop an artificial intelligence system that automatically detects loitering behaviour in video surveillance environments. The first step to identify this behaviour was used a Generalized Sequential Patterns that detects sequential micro-patterns in the input loitering video sequences. The test phase determines the appropriate percentage of inclusion of this set of micro-patterns in a new input sequence, namely those that are considered to form part of the profile, and then be identified as loitering. The system is dynamic; it obtains micro-patterns on a repetitive basis. During the execution time, the system takes into account the human operator and updates the performance values of loitering in shopping mall. The profile obtained is consistent with what has been documented by experts in this field and is sufficient to focus the attention of the human operator on the surveillance monitor.

A novel multi-scale violence and public gathering dataset for crowd behavior classification

“…Over the last several years, significant advances have been made in the domain of video analysis using DL (Sharma et al, 2021). DL-based video processing techniques are usually focused on human action recognition (Huang et al, 2015;Sudhakaran and Lanz, 2017;Arif et al, 2019;Dhiman and Vishwakarma, 2019;Mazzia et al, 2022), anomaly detection (Sabokrou et al, 2018;Nayak et al, 2021), and behavior analysis (Gómez A et al, 2015;Marsden et al, 2017;Sánchez et al, 2020). These techniques often utilize convolutional neural networks (CNNs) (Ji et al, 2012;Karpathy et al, 2014;Simonyan and Zisserman, 2014;Xu et al, 2015;Feichtenhofer et al, 2016;Sahoo et al, 2019;Elboushaki et al, 2020).…”

An Entropy Model for Loiterer Retrieval across Multiple Surveillance Cameras

“…Loitering is determined based on the duration of appearance. Tomás et al [16] identify sequential micro-patterns (such as walk, stop, walk, stop) to determine loitering behavior of the elderly. Elhamod et al [3] provide a semantics-based approach using both features of objects and the relationship between them to define and detect behavior of interest, such as loitering or abandoned luggage.…”

Loitering Behaviour Detection of Boats at Sea

“…Loitering refers to a boat spending abnormally long time on the same area or performing slow movements around a bigger area but still without displacing itself a significant distance. This behaviour has been studied extensively in its land-case counterpart as loitering is a suspicious behavior that might lead to abnormal situations, such as pickpocketing, attack to a person or to a valuable asset [2,11,9,17].…”