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Legal standing (The legal status is an assumption and is not a legal conclusion. Current Assignee (The listed assignees may be inaccurate. Priority date (The precedence date is an assumption and isn't a authorized conclusion. The appliance discloses a goal tracking methodology, a goal tracking device and digital gear, and relates to the technical field of synthetic intelligence. The method comprises the next steps: a first sub-community in the joint monitoring detection network, a first feature map extracted from the goal characteristic map, and a second feature map extracted from the goal feature map by a second sub-community within the joint monitoring detection network; fusing the second characteristic map extracted by the second sub-network to the primary feature map to acquire a fused function map corresponding to the first sub-network; buying first prediction info output by a first sub-community based on a fusion characteristic map, and acquiring second prediction info output by a second sub-network; and determining the current place and the motion path of the transferring goal in the target video based on the first prediction info and the second prediction data.

The relevance amongst all of the sub-networks that are parallel to one another will be enhanced through feature fusion, and the accuracy of the decided place and movement path of the operation goal is improved. The present software pertains to the sphere of synthetic intelligence, and particularly, to a target monitoring methodology, apparatus, and electronic gadget. Lately, artificial intelligence (Artificial Intelligence, AI) know-how has been widely utilized in the sector of target tracking detection. In some scenarios, a deep neural community is typically employed to implement a joint trace detection (monitoring and object detection) community, where a joint hint detection community refers to a network that is used to realize target detection and target trace together. In the present joint tracking detection network, the position and movement path accuracy of the predicted moving goal just isn't high enough. The appliance provides a goal monitoring technique, a goal tracking device and electronic equipment, which may enhance the issues.

In a single aspect, an embodiment of the current application supplies a goal monitoring methodology, where the tactic includes: a primary sub-community in a joint monitoring detection community is used for extracting a primary characteristic image from a target characteristic picture, and a second sub-community within the joint tracking detection network is used for extracting a second characteristic image from the target characteristic image, whereby the target characteristic image is extracted from a video frame of a goal video; fusing the second function map extracted by the second sub-network to the primary characteristic map to obtain a fused function map corresponding to the first sub-network; acquiring first prediction data output by a primary sub-network in response to the fusion function map, and buying second prediction data output by a second sub-network; primarily based on the first prediction data and the second prediction information, figuring out the present position and the movement trail of the moving goal within the goal video.