Abstract
Aiming at the problem that precision of frame difference for moving object detection is weak, a multi-info fusion model and a novel moving object detection algorithm based on the model are presented in this paper. Firstly, the temporal difference image of two frames in a motion sequence is reconstructed with morphologic operator to obtain target area. Then the spatial-temporal information in the target area is integrated into a fusion image by using the multi-info fusion model. Finally the accurate moving object is detected with automatic threshold segmentation method. The methods of fusion in fusion model are discussed, and a static linear fusion and dynamic self-adaptive fusion based on temporal entropy are presented. The experimental results show that the edge of the obtained moving target with the multi-info fusion method proposed is more accurate than the existing method, and the time complexity is low, which meets the requirement of real-time detection.
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Zhao, Y., Hu, Z., Yang, X., Bai, Y. (2014). Moving Object Detection Method with Temporal and Spatial Variation Based on Multi-info Fusion. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_42
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DOI: https://doi.org/10.1007/978-3-319-09333-8_42
Publisher Name: Springer, Cham
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