Moving Object Detection Based on Non-parametric Methods and Frame Difference for Traceability Video Analysis

Abstract Traceability using video is a new trend in the process of food or agriculture related material production. However, in these applications the bandwidth and computation capacity are limited. It is necessary to improve the traditional object detection methods for these applications. In this paper, we present an algorithm combining non-parametric method and frame difference for traceability video analysis. According to the experimental results, the proposed method performance better than the traditional frame difference and GMM.

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