Abstract: A face retrieval method is applied to a face retrieval system and performed by a computing device, the face retrieval system including a retrieval device cluster, the retrieval device cluster including at least one node. The method includes acquiring a face image, parsing the face image to obtain a first facial feature, and generating a first retrieval instruction according to the first facial feature, the first retrieval instruction carrying the first facial feature. The method further includes selecting a first node from the retrieval device cluster according to a load balancing rule, the first node including a first retrieval server. Finally, the method includes transmitting the first retrieval instruction to the first retrieval server, to trigger the first retrieval server to execute the first retrieval instruction to retrieve the first facial feature, to obtain a first retrieval result.

Abstract: A face retrieval method is applied to a face retrieval system and performed by a computing device, the face retrieval system including a retrieval device cluster, the retrieval device cluster including at least one node. The method includes acquiring a face image, parsing the face image to obtain a first facial feature, and generating a first retrieval instruction according to the first facial feature, the first retrieval instruction carrying the first facial feature. The method further includes selecting a first node from the retrieval device cluster according to a load balancing rule, the first node including a first retrieval server. Finally, the method includes transmitting the first retrieval instruction to the first retrieval server, to trigger the first retrieval server to execute the first retrieval instruction to retrieve the first facial feature, to obtain a first retrieval result.

Abstract: Embodiments of this application disclose a method and computing device for obtaining a moving track, a storage medium, and a terminal. The method includes the following operations: obtaining multiple sets of target images generated by multiple cameras for a photographed area, each set captured at a target moment within a selected time period; performing image recognition on each set of target images to obtain a set of face images of multiple target persons; respectively recording current position information of each face image corresponding to each person on a corresponding set of target images at a target moment; and outputting a set of moving tracks of the set of face images within the selected time period in chronological order, each moving track according to the current position information of a face image corresponding to a respective one of the multiple target persons within the multiple sets of target images.