Abstract
Dump truck recognition plays an important role in the state-owned land surveillance system, which aims at fore-warning illegal construction. However, there is no special algorithm for dump truck recognition. In this paper, we explore a dump truck recognition algorithm combing structure components projection with spatial relationship (SCPSR). Instead of detecting dump truck directly as a whole, we propose a dump truck recognition algorithm based on foreground detection and components detection. An improved three frames difference method is used for foreground detection. Inspired by structure feature of dump truck components, we first locate the wheels by its valley feature on gray-scale image, and then search the candidate cab and hopper zones with the help of spatial relationship. Further, cab and hopper zones are determined by the components projection. Combining foreground detection with components detection method, the system is able to provide real-time and reliable vehicle supervision results. Experiments on real site videos demonstrate promising performance of the proposed algorithm.
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Yang, W., Hu, X., Gao, R., Liao, Q. (2016). Dump Truck Recognition Based on SCPSR in Videos. In: Tan, T., Li, X., Chen, X., Zhou, J., Yang, J., Cheng, H. (eds) Pattern Recognition. CCPR 2016. Communications in Computer and Information Science, vol 663. Springer, Singapore. https://doi.org/10.1007/978-981-10-3005-5_27
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DOI: https://doi.org/10.1007/978-981-10-3005-5_27
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