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Multiple Objects Tracking Under Occlusion Detection in Video Sequences

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 841))

Abstract

This research displays an ongoing framework to identification of various occluding questions in element scenes. Article identification is a workstation engineering that bargains for identifying examples for same questions of a part (likely similar as peoples, vehicles, or buildings) for advanced pictures Also features. In the primary objective from claiming impediment identification from feature In utilizing Gaussian mixture model (GMM) strategy which will be foundation demonstrating will be should yield reference model What’s more this reference model is utilized within foundation subtraction done each feature grouping may be compared against those reference model will focus time permits variety. Then impediment identification In light of Questions pixels qualities.

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Correspondence to Sheshang Degadwala .

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Gaur, S., Degadwala, S., Mahajan, A. (2019). Multiple Objects Tracking Under Occlusion Detection in Video Sequences. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_23

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