PEDESTRIAN ATTRIBUTE IDENTIFICATION AND POSITIONING METHOD AND CONVOLUTIONAL NEURAL NETWORK SYSTEM
PEDESTRIAN ATTRIBUTE IDENTIFICATION AND POSITIONING METHOD AND CONVOLUTIONAL NEURAL NETWORK SYSTEM
- New search for: FENG BAILAN
- New search for: YAO CHUNFENG
- New search for: HUANG KAIQI
- New search for: ZHANG ZHANG
- New search for: ZHOU YANG
- New search for: FENG BAILAN
- New search for: YAO CHUNFENG
- New search for: HUANG KAIQI
- New search for: ZHANG ZHANG
- New search for: ZHOU YANG
The method includes: performing feature extraction on a to-be-detected image at a plurality of different abstraction degrees, to obtain a plurality of first feature maps of a pedestrian attribute; performing convolution on the plurality of first feature maps, to obtain a plurality of second feature maps; mapping each second feature map to a plurality of areas (bins) that overlap each other, and performing max pooling on each bin, to obtain a plurality of high-dimensional feature vectors, where the plurality of bins that overlap each other evenly cover each second feature map; processing the plurality of high-dimensional feature vectors into a low-dimensional vector, to obtain an identification result of the pedestrian attribute; and further obtaining a positioning result of the pedestrian attribute based on the plurality of second feature maps and the plurality of high-dimensional feature vectors.
Document information
PEDESTRIAN ATTRIBUTE IDENTIFICATION AND POSITIONING METHOD AND CONVOLUTIONAL NEURAL NETWORK SYSTEM
2020-08-27
Patent
Electronic Resource
English
| IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06K Erkennen von Daten , RECOGNITION OF DATA / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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