Target tracking method based on online state learning and estimation
A state estimation and target tracking technology, applied in the field of computer vision, can solve problems such as tracking drift, learning errors, and affecting model learning accuracy, and achieve accurate target tracking, speed improvement, and target tracking effects
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[0026] The method of the invention can be used in various occasions of target tracking, such as intelligent video analysis, automatic human-computer interaction, traffic video monitoring, unmanned vehicle driving, biological group analysis, and fluid surface velocity measurement.
[0027] Take intelligent video analysis as an example: intelligent video analysis includes many important automatic analysis tasks, such as behavior analysis, abnormal alarm, video compression, etc., and the basis of these tasks is the ability to perform stable target tracking. It can be realized by adopting the tracking method proposed by the present invention. Specifically, a target location and state estimation network is first established, such as figure 2 As shown, then in the initial network training process, the initial training set and stochastic gradient descent method are used to train the target localization and state estimation network. After the training is completed, the network can obt...
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