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    • 7. 发明公开
    • METHOD AND DEVICE FOR DETERMINING THAT A DETECTED OBJECT BELONGS TO A SPECIFIC CLASS
    • EP4455907A1
    • 2024-10-30
    • EP23169423.3
    • 2023-04-24
    • Axis AB
    • Hassbring, Ludvig
    • G06F18/2411G06V10/80G06N3/045G06V20/40
    • G06V10/811G06F18/2411G06T2207/1001620130101G06V20/40G06N20/00
    • A device, a non-transitory computer-readable storage medium, and a method of determining that a detected object belongs to a specific class are disclosed. First object detection is performed, using a first object detector, comprising detecting an object in a first image frame of a video sequence, and determining a first probability score indicating a probability that the detected object in the first image frame belongs to a specific class. Second object detection is performed, using a second object detector, comprising detecting an object in a second image frame of the video sequence, and determining a second probability score indicating a probability that the detected object in the second image frame belongs to the specific class, wherein the second image frame is subsequent to the first image frame in the video sequence. The first object detector has a higher object detection precision as compared to the second object detector, and the first object detector requires a first processing time for performing the first object detection, the first processing time being longer as compared to a second processing time required by the second object detector for performing the second object detection. The second object detection is performed in parallel with the first object detection. One or more of reducing the first classification threshold and increasing the first probability score is performed on condition that the determined first probability score is below a first classification threshold and the determined second probability score is above a second classification threshold. The first object detector determines that the detected object in the first image frame belongs to the specific class on condition that the increased first probability score is above the first classification threshold, the first probability score is above the reduced first classification threshold, or the increased first probability score is above the reduced first classification threshold.