Target track fuzzy data fusion method based on video monitoring

A target trajectory, fuzzy data technology, applied in the direction of location information-based services, television, CCTV systems, etc., can solve the problem of increasing errors, not providing, easy to lose real abnormal information, etc., to achieve the effect of restoring the fuzzy trajectory

Active Publication Date: 2018-05-29
ARMY ENG UNIV OF PLA
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AI Technical Summary

Problems solved by technology

For low-precision position information, redundancy can restore the true distribution to a certain extent, but the error data will not provide any useful information, which will only further increase the error
Furthermore, the trajectories to be tracked are often anomalous
Whether based on filters or predictive models, it is easy to lose true anomaly information in the fusion

Method used

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  • Target track fuzzy data fusion method based on video monitoring
  • Target track fuzzy data fusion method based on video monitoring
  • Target track fuzzy data fusion method based on video monitoring

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Embodiment Construction

[0022] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0023] The present invention designs a fuzzy data fusion method of target trajectory based on video monitoring. First, a single monitoring sensor is combined with hesitant fuzzy set theory to realize target multi-attribute and multi-view fuzzy decision-making modeling. Secondly, the reversibility of reliability transfer in fuzzy decision-making is pointed out, and the hesitant fuzzy matrix is ​​constructed again by sequential judgment and reverse order correction in combination with time-series trajectory sequence correlation and fuzzy value, so as to realize fuzzy error data removal and path decision-making.

[0024] The present invention designs a fuzzy data fusion method of target trajectory based on video monitoring, which is used to obtain the trajectory data of the target object from the starting point position. In ...

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Abstract

The invention relates to a target track fuzzy data fusion method based on video monitoring and is applied to actual police work. Police officers cannot acquire GPS position data through active uploading of abnormal objects, and only acquires the positioning information through a monitoring sensor network. Most of behaviors generated by suspected objects of various cases in different stages such ascollusion, implementation, hiding and the like have subjective invisibility, so that the data acquired by the monitoring network is fuzzy data, and through the target track fuzzy data fusion method based on video monitoring, a fuzzy track can be recovered, and help is brought to police work and target tracking.

Description

technical field [0001] The invention relates to a fuzzy data fusion method of a target track based on video monitoring, and belongs to the technical field of target track tracking. Background technique [0002] In the field of trajectory fusion, the commonly used methods are mainly fusion based on prediction models and fusion based on filtering algorithms. Doug Cox et al. proposed a new Markov algorithm for low-frequency and low-fidelity data of sensor networks. chain reorganization schemes, and use the new schemes to generate probabilistic trajectories based on the original data. P Zhang et al proposed a fusion algorithm combining stable position and Kalman filtering. At the same time, AO B Wang et al proposed a distributed multi-target tracking algorithm based on the multi-Bernoulli (MB) filter of generalized covariance intersection (G-CI). However, in the actual recognition process, due to a variety of complex scene conditions, as well as the subjective concealment and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18H04W4/02H04W64/00G06K9/62G06K9/00H04W4/021
CPCH04N7/181H04W4/021H04W4/027H04W64/006G06V20/52G06F18/25
Inventor 仇功达何明刘光云周千棚石高平张传博郑翔
Owner ARMY ENG UNIV OF PLA
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