US 12,217,477 B2
Object recognition method and apparatus
Gang Pan, Hangzhou (CN); Qianhui Liu, Hangzhou (CN); Lei Jiang, Hangzhou (CN); Jie Cheng, Shenzhen (CN); Haibo Ruan, Hangzhou (CN); Dong Xing, Hangzhou (CN); Huajin Tang, Hangzhou (CN); and De Ma, Hangzhou (CN)
Assigned to HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed by HUAWEI TECHNOLOGIES CO., LTD., Guangdong (CN)
Filed on Feb. 25, 2022, as Appl. No. 17/680,668.
Application 17/680,668 is a continuation of application No. PCT/CN2020/111650, filed on Aug. 27, 2020.
Claims priority of application No. 201910818551.1 (CN), filed on Aug. 30, 2019.
Prior Publication US 2022/0180619 A1, Jun. 9, 2022
Int. Cl. G06V 10/62 (2022.01); G06N 3/049 (2023.01); G06V 10/44 (2022.01); G06V 10/77 (2022.01)
CPC G06V 10/62 (2022.01) [G06N 3/049 (2013.01); G06V 10/454 (2022.01); G06V 10/77 (2022.01)] 8 Claims
OG exemplary drawing
 
1. An object recognition method comprising:
obtaining address event representation (AER) data of a to-be-recognized object, wherein the AER data comprises a plurality of AER events of the to-be-recognized object, and each AER event comprises a timestamp and address information;
extracting a plurality of feature maps of the AER data, wherein each feature map comprises partial spatial information and partial temporal information of the to-be-recognized object, and the partial spatial information and the partial temporal information are obtained based on the timestamp and the address information of each AER event; and
recognizing the to-be-recognized object based on the plurality of feature maps of the AER data,
wherein the step of extracting the plurality of feature maps of the AER data comprises:
processing address information of the plurality of AER events, by using a plurality of filters, to obtain a plurality of first feature maps; and
attenuating, as a function of time, feature values in the plurality of first feature maps based on timestamps of the plurality of AER events, to obtain the plurality of feature maps of the AER data.