Title:
COMPLEX SCENARIO-ORIENTED MULTI-SOURCE TARGET TRACKING METHOD
Document Type and Number:
WIPO Patent Application WO/2021/046681
Kind Code:
A1
Abstract:
A complex scenario-oriented multi-source target tracking method, which relates to the field of artificial intelligence technology, and comprises the following steps: forming an initial deep learning network, setting a weight of the initial deep learning network, and performing steepest gradient dimensionality reduction on the weight of the initial deep learning network, so as to obtain an initial feature matrix of a multi-source target; performing simplified sparse representation and sparse processing on the initial feature matrix of the multi-source target, so as to obtain a sparsified target feature matrix; and classifying the sparsified target feature matrix, and establishing and forming feature matrix representations of different feature targets. In said method, a multi-source target feature matrix library established by means of a deep learning network has a good modeling characteristic and a data statistical structure, and a multi-source target tracker model can be generated for label-free training data.
Inventors:
WANG LING (CN)
WANG FENG (CN)
GUAN QINGYANG (CN)
ZHANG RENHUI (CN)
WANG FENG (CN)
GUAN QINGYANG (CN)
ZHANG RENHUI (CN)
Application Number:
PCT/CN2019/104924
Publication Date:
March 18, 2021
Filing Date:
September 09, 2019
Export Citation:
Assignee:
SHENZHEN DEMIO TECH CO LTD (CN)
International Classes:
G06K9/62; G06K9/00
Foreign References:
| CN108053423A | 2018-05-18 | |||
| CN106127804A | 2016-11-16 | |||
| CN109544603A | 2019-03-29 | |||
| JP2005165688A | 2005-06-23 |
Attorney, Agent or Firm:
PRECISE INTELLECTUAL PROPERTY FIRM (CN)
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