A pedestrian re-identification method, device and computer equipment
A pedestrian re-identification and mechanism technology, which is applied in computer parts, computing, neural learning methods, etc., can solve the problems of unpredictable re-identification effects and inability to make full use of fine-grained features, and achieve the effect of improving accuracy.
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Embodiment 1
[0034] figure 1 It is a flowchart of a pedestrian re-identification method provided by an embodiment of the present invention. The method introduces an attention mechanism and fuses features of different layers, including steps S10-S50.
[0035] S10: Get the input image X ,right X Extract the global feature of the image to obtain the global feature map G .
[0036] S20: Based on the attention mechanism, the G As a feature map to be extracted, perform image local feature extraction on the feature map to be extracted to obtain a local feature map X 1 ; Based on the attention mechanism, the X i-1 As a feature map to be extracted, perform image local feature extraction on the feature map to be extracted to obtain a local feature map X i ,in, i is an integer, i =2,..., N , N is an integer greater than or equal to 2.
[0037] S30: Will G as a high-level feature map ,Will X 1 as a low-level feature map ,right and Perform non-local feature fusion to obtain no...
Embodiment 2
[0114] Figure 6 It is a schematic structural diagram of a pedestrian re-identification device provided by an embodiment of the present invention. The device is used to implement the pedestrian re-identification method provided in Embodiment 1, including a global feature extraction module 610 , a local feature extraction module 620 , a non-local feature fusion module 630 and a serial number prediction module 640 .
[0115] The global feature extraction module 610 is used to obtain the input image X ,right X Extract the global feature of the image to obtain the global feature map G .
[0116] The local feature extraction module 620 is used for attention-based mechanism, which will G As a feature map to be extracted, perform image local feature extraction on the feature map to be extracted to obtain a local feature map X 1 ; Based on the attention mechanism, the X i-1 As a feature map to be extracted, perform image local feature extraction on the feature map to be extrac...
Embodiment 3
[0150] Figure 7 It is a schematic structural diagram of a computer device provided by an embodiment of the present invention. Such as Figure 7 As shown, the device includes a processor 710 and a memory 720 . The number of processors 710 may be one or more, Figure 7 A processor 710 is taken as an example.
[0151] The memory 720, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules of the pedestrian re-identification method in the embodiment of the present invention. The processor 710 implements the above pedestrian re-identification method by running the software programs, instructions and modules stored in the memory 720 .
[0152] The memory 720 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store...
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