On Restricted Computational Systems, Real-time Multi-tracking and Object Recognition Tasks are Possible
Hamam Mokayed, Thomas Hikaru Clark, Lama Alkhaled, Mohamad Ali Marashli, Hum Yan Chai · 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) · 2022
Intelligent surveillance systems are inherently computationally intensive. And with their ever-expanding utilization in both small-scale home security applications and on the national scale, the necessity for efficient computer vision processing is critical. To this end, we propose a framework that utilizes modern hardware by incorporating multi-threading and concurrency to facilitate the complex processes associated with object detection, tracking, and identification, enabling lower-powered systems to support such intelligent surveillance systems effectively. The proposed architecture provides an adaptable and robust processing pipeline, leveraging the thread pool design pattern. The developed method can achieve respectable throughput rates on low-powered or constrained compute platforms.