Reliability of response region: A novel mechanism in visual tracking by edge computing for IIoT environments

Abstract Reliability has been widely used in industrial IoT (IIoT) applications. Since maintaining fast and accurate tracking of targets with fast move and motion blur in industrial applications is still a major challenge, this paper proposes a novel mechanism based on reliability for target matching, which is the basic problem in computer vision. Then, by using the proposed reliability-based mechanism, a novel visual tracking method with edge computing is proposed to achieve accurate and rapid tracking with high reliability. Experimental results on Object Tracking Benchmark (OTB) dataset showed effectiveness of the proposed mechanism by comparing reliability-based and original algorithm. Results also showed that tracking performance of the proposed method has been increased, especially effected greatly on fast-moving, background clutter and motion blur. Therefore, the proposed method is validated to play an important role in real industrial applications with edge computing, which is more suitable for IIoT environments and automotive industry.

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