Towards Security as a Service to Protect the Critical Resources of Mobile Computing Devices
This addresses security monitoring in mobile computing, but appears incremental as it builds on existing detection methods.
The paper tackles detecting movement of interest in crowd scenes by analyzing regions and key patterns, showing effectiveness on a standard dataset.
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.