Towards Security as a Service to Protect the Critical Resources of Mobile Computing Devices

TL;DR

This paper proposes a new method for detecting movement of interest in crowd scenes by analyzing regions of interest and key movement patterns, demonstrating effectiveness through experimental analysis.

Contribution

It introduces a novel approach that discretizes regions into patterns and identifies key movements to detect interest in various crowd scenes.

Findings

Effective detection of movement of interest in crowd scenes

Works well in both regular and irregular scenes

Validated on a standard dataset

Abstract

We introduce a novel method to detect movement of interest in crowd scenes. For this purpose, we consider regions of interest and discretize them into a number of patterns. Furthermore, we investigate a representative movement of key patterns to detect movement of interest. The investigation of region of interest and key patterns help in detecting movement of interest in both regular and irregular scenes. The experimental analysis on a standard dataset reveals the effectiveness of our method.