44results about How to "Object Detection Implementation" patented technology

The invention provides a specific color pedestrian detecting method in a static video camera scene. The method utilizes a Gaussian mixture model to conduct modeling to a background of the scene, after a background model is obtained, a sketchy motion foreground is obtained by comparing with a disposed image at present, a foreground is obtained by enabling the motion foreground to be raised in a rectangular block mode after filtering processing and morphological processing are conducted. A ratio occupied by foreground point in each foreground block is calculated and combines with statistical property of the projection number that the foreground points are projected on a horizontal coordinates to distinguish a complex foreground from a simple foreground, and a horizontal coordinates of a pedestrian which possibly exits is estimated. For the complex foreground block, a pedestrian height estimation model and an Adaboost classifier based on the feature of a direction gradient histogram are used for conducting accurate detection to the pedestrian, after a pedestrian target location is obtained, a clothing color of the pedestrian is identified. The specific color pedestrian detecting method in the static video camera scene improves detection speed and accuracy of the pedestrian target and can be applied to real-time video monitoring and video retrieval.

The invention belongs to the technical field of communication, and discloses a clutter inhibition method of an airborne external radiation source radar. The method comprises the following steps: obtaining signals received by the airborne external radiation source radar, wherein the signals comprises reference signals, first echo signals and second echo signals; respectively segmenting the reference signals, the first echo signals and the second echo signals to obtain segmentation reference signals and two paths of segmentation echo signals; according to the segmentation reference signals, respectively performing range-direction compression on the two paths of segmentation echo signals to obtain range-direction compression signals of the two paths of segmentation echo signals; respectively performing phase compensation on the range-direction compression signals of the two paths of segmentation echo signals to obtain phase compensation signals of the two paths of the segmentation echo signals; and performing channel registering on the phase compensation signals of the two paths of the segmentation echo signals, and performing subtraction on the two paths of the segmentation echo signals after the registering so as to inhibit clusters and reserve object information. The method provided by the invention solves the problem of neglect of incomplete cancellation of the clusters during migration of the reference signals in the prior art.

The application discloses a target detection method, electronic equipment and a computer-readable storage medium. The method includes: starting from the starting area of ​​the image to be processed, making the convolution kernel slide on the image to be processed with a preset step size to obtain multiple areas to be processed, the image to be processed is composed of multiple types of slice pixels, and the multiple types of slice pixels The distribution in each area to be processed is the same; take one of the slice pixels as the slice pixels to be processed, and perform matrix inner product multiplication between the convolution kernel and each area to be processed to obtain the inner product of each area to be processed Result; use the inner product results of all regions to be processed to obtain a slice image; modify the category of slice pixels to be processed, and repeat the above steps until each type of slice pixels is traversed, and multiple slice images are obtained; based on multiple slice images , to get the target detection result of the image to be processed. Through the above manner, the accuracy of target detection can be improved.

The invention discloses a distributed passive radar target detection method under a direct wave-free condition, and belongs to the technical field of distributed passive radar target detection. A conventional passive radar target detection method is based on the classical matched filtering theory, and approximately optimal detection properties can be achieved on premise that a direct wave with a relatively high signal-to-noise ratio can be acquired in real time and an emitted signal can be estimated with high quality by using a direct wave signal received by a reference channel. To solve the problem of detecting a target which cannot receive the direct wave signal in practical, the invention discloses the distributed passive radar target detection method under a direct wave-free condition, and a concentrated target detector under the direct wave-free condition is established, so that target detection can be implemented when the signal-to-noise ratio of the direct wave signal is relatively low or the direct wave signal cannot be received in a multiple-input multiple-output geometric structure, and meanwhile the target matching problem which is very hard to solve among different receiving stations of a distributed passive radar is indirectly avoided.