The invention relates to a target detection method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: after the to-be-identified image and the first target frame are received, determining an image block containing a target object according to the to-be-identified image and the first target frame, inputting image data corresponding tothe image block into the target object detection model to obtain a probability graph corresponding to the image block, and detecting the target object according to the probability graph. Thus, the purpose of detecting the target object can be achieved without accurately marking the contour boundary of the target object by a user through a polygon tool, the workload of manual labeling is reduced, alarge amount of time is saved, and the intelligence of target object detection and the use experience of the user are improved.

Target detection method and device, computer readable storage medium and electronic equipment

The embodiment of the invention discloses a method and a device for generating information, and a target tracking method and a target tracking device. A specific embodiment of the method for generating the information comprises the steps of obtaining a target video; selecting a video frame from the target video; determining wrist position information of a wrist object in the video frame; and generating palm position information of the palm object in a subsequent video frame of the video frame based on the wrist position information. According to the embodiment, the palm position information can be determined based on the wrist position information, the palm position information determining modes are enriched, and the accuracy of the determined palm position can be improved.

Method and device for generating information and target tracking method and device

The invention relates to a robot grabbing and positioning method. The method comprises the following steps: (1) establishing a system coordinate system and correcting a robot tool coordinate system; (2) installing a camera and completing hand-eye calibration; (3) mounting a clamp at the tail end of a robot and clamping a workpiece on a conveying line; (4) determining a feature region, wherein thefeature area comprises a first camera scanning area, a second camera scanning area and a third camera scanning area; the robot grabs the workpiece and sequentially moves the workpiece to the first camera scanning area, the second camera scanning area and the third camera scanning area; creating feature area templates of the scanning areas respectively, storing feature area template data and the robot scanning starting point position respectively, and representing the data by matrixes respectively; (5) re-scanning the image, and respectively calculating the posture of the feature region relative to the robot base coordinate system and the rotation offset matrix relative to the robot tool coordinate system; (6) performing the mapping of the positions of feature points; (7) establishing a workpiece coordinate system; (8) positioning a new workpiece.

Robot grabbing and positioning method

The embodiment of the invention discloses a target tracking method and device. A specific embodiment of the method comprises the steps of obtaining a target video; selecting a video frame from the target video as a first target video frame, and performing the following tracking steps: tracking, inputting the first target video frame into a pre-trained detection model, obtaining the position information of the target object in the input video frame; wherein the detection model is used for extracting at least one of material feature data and shape feature data of an input video frame; and generating position information of a target object in the input video frame based on the extracted feature data, and executing the following tracking sub-steps: selecting a subsequent video frame of the first target video frame from the target video as a second target video frame; and carrying out target object tracking on the second target video frame based on the obtained position information. According to the embodiment, the target tracking mode is enriched.

Target tracking method and device

The invention discloses a vehicle steering behavior detection method. According to the method, the method comprises steps of tracking a vehicle; configuring marked lines according to intersections, wherein the marked lines comprise a left lane line, a pedestrian crossing upper edge line and the like; recognizing vehicle behaviors according to the collected target vehicle frame information; judgingwhether the target vehicle has a left turning behavior below the stop line or in the pedestrian crosswalk area or not; if the target turns left and leaves the intersection and a left turning behavioroccurs below the stop line or in a pedestrian crossing area, determining a large-turning and small-turning behavior; the method does not need to obtain a range which does not allow left turning and set a detection line according to priori knowledge, does not need additional peripheral equipment, is simple in implementation equipment and low in cost, can avoid misjudgment by judging the vehicle driving behavior in the pedestrian crossing line and the driving behavior when the vehicle leaves the intersection, and improves the accuracy of large-turning and small-turning judgment. The invention further provides a vehicle steering behavior detection device and equipment and a readable storage medium, and the vehicle steering behavior detection device and equipment have the above beneficial effects.

Vehicle steering behavior detection method, device and equipment and storage medium

The invention provides an object tracking method and device based on a video image. The method comprises the following steps of: tracking a target tracking object in a continuous video image; and determining the position of the target tracking object in the second video image according to the position of the target tracking object in the second area after the position of the target tracking objectin the video image is determined and the second area in the second video image is determined only through the position of the target tracking object in the first video image in subsequent calculation. Therefore, the whole video image does not need to be identified and calculated in the subsequent object tracking process, so that the calculation amount when the object is tracked is reduced, and the calculation efficiency is improved.

Object tracking method and device based on video images

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Object tracking method and device based on video images