Methods and systems for CNN network adaption and object online tracking
US11521095B2 · kind B2 · utility
2Cited by
4References
18Claims
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Key dates
| Filing date | Aug 1, 2018 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Jul 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are methods, apparatuses and systems for CNN network adaption and object online tracking. The CNN network adaption method comprises: transforming a first feature map into a plurality of sub-feature maps, wherein the first feature map is generated by the pre-trained CNN according to a frame of the target video; convolving each of the sub-feature maps with one of a plurality of adaptive convolution kernels, respectively, to output a plurality of second feature maps with improved adaptability; training, frame by frame, the adaptive convolution kernels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.