Target retrieval method and device, and storage medium

A target retrieval device, comprising a processor and a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when being executed by the processor, the instructions perform the following:

• acquiring structured feature information that is input when information retrieval is performed on a preset information retrieval database;
• acquiring, according to time information and range information contained in the input structured feature information, semi-structured feature information in thermal data within a first preset period and a first preset range from the information retrieval database and using the semi-structured feature information as to-be-retrieved thermal data;
• acquiring a real-time video stream of a camera within a second preset period and a second preset range;
• acquiring semi-structured feature information of a potential target in the real-time video stream;
• and
• comparing the semi-structured feature information of the potential target with the semi-structured feature information in the thermal data and determining whether the potential target is a retrieval target according to a comparison result.

A non-transitory computer-readable storage medium, storing at least one program, wherein when being executed by at least one processor, the at least one program performs the following:

• acquiring structured feature information that is input when information retrieval is performed on a preset information retrieval database;
• acquiring, according to time information and range information contained in the input structured feature information, semi-structured feature information in thermal data within a first preset period and a first preset range from the information retrieval database and using the semi-structured feature information as to-be-retrieved thermal data;
• acquiring a real-time video stream of a camera within a second preset period and a second preset range;
• acquiring semi-structured feature information of a potential target in the real-time video stream;
• and
• comparing the semi-structured feature information of the potential target with the semi-structured feature information in the thermal data and determining whether the potential target is a retrieval target according to a comparison result.