# US 2022/0284691 A1 · Systems, methods, and devices for capturing images > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0284691 A1 - Document ID: US20220284691A1 - Status: Published application - Kind: A1 - Application number: 17/664,661 - Filed: 2022-05-24 - Published: 2022-09-08 - Earliest claimed: 2019-12-05 - Assignees: Zhejiang Dahua Technology Co., Ltd. - Applicants: Zhejiang Dahua Technology Co., Ltd. - Inventors: Meng CHEN; Changhong QIN - Web page: https://patentgrep.com/patent/US20220284691A1 ## CPC - G06V 10/443: {by matching or filtering} - H04N 7/181: {for receiving images from a plurality of remote sources} - G06T 7/20: Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) - G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80) - G06V 10/54: relating to texture - G06V 10/56: relating to colour - G06V 10/762: using clustering, e.g. of similar faces in social networks - H04N 23/661: Transmitting camera control signals through networks, e.g. control via the Internet - H04N 23/695: Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects - H04N 23/698: for achieving an enlarged field of view, e.g. panoramic image capture - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract The present disclosure relates to systems, methods, and devices for capturing images. The system may determine at least one first object in a first monitoring image acquired by a first capture device. The system may determine a target monitoring position based on position information associated with the at least one first object in the first monitoring image. The system may obtain a second monitoring image associated with the target monitoring position acquired by a second capture device. The system may determine at least one second object in the second monitoring image. The system may identify at least one matched second object from the at least one second object based on relevancy information among the at least one second object and the at least one first object. The system may direct the second capture device to capture at least one capture image of the at least one matched second object. ## Claims ### Claim 1 A method implemented on a computing device having at least one processor and at least one storage medium including a set of instructions for obtaining at least one image, comprising: determining at least one first object in a first monitoring image acquired by a first capture device; determining a target monitoring position based on position information associated with the at least one first object in the first monitoring image; obtaining a second monitoring image associated with the target monitoring position acquired by a second capture device; determining at least one second object in the second monitoring image; identifying at least one matched second object from the at least one second object based on relevancy information among the at least one second object and the at least one first object, wherein for each of the at least one matched second object, a relevancy between the matched second object and one of the at least one first object satisfies a preset matching condition; and directing the second capture device to capture at least one capture image of the at least one matched second object. ### Claim 2 (depends on 1) The method of claim 1, further comprising: for each of the at least one matched second object, marking a first object that is matched with the matched second object. ### Claim 3 (depends on 2) The method of claim 2, wherein at least one marked first object corresponding to the at least one matched second object is ignored in a subsequent capturing process. ### Claim 4 (depends on 1) The method of claim 1, wherein the determining the target monitoring position based on the position information associated with the at least one first object in the first monitoring image comprises: obtaining a historical set including at least one historically marked object; identifying at least one negligible first object from the at least one first object based on relevancy information among the at least one first object and at least part of the at least one historically marked object, wherein for each of the at least one negligible first object, a relevancy between the negligible first object and one of the at least one historically marked object satisfies the preset matching condition; excluding the at least one negligible first object from the at least one first object; and determining the target monitoring position based on position information associated with remainder first objects. ### Claim 5 (depends on 1) The method of claim 1, wherein the determining the target monitoring position based on the position information associated with the at least one first object in the first monitoring image comprises: determining a cluster by processing the position information associated with the at least one first object using a clustering algorithm; and determining the target monitoring position based on the cluster. ### Claim 6 (depends on 5) The method of claim 5, further comprising: adjusting the clustering algorithm based on a shape of the second capture device. ### Claim 7 (depends on 1) The method of claim 1, wherein the determining the target monitoring position based on the position information associated with the at least one first object in the first monitoring image comprises: for each of the at least one first object, determining motion information of the first object based on a plurality of first monitoring images including the first object acquired by the first capture device; obtaining motion information of the second capture device; and determining the target monitoring position based on the monition motion information of the at least one first object and the motion information of the second capture device. ### Claim 8 (depends on 1) The method of claim 1, wherein the relevancy information is associated with at least one of: position information of the at least one first object and the at least one second object; or feature information of the at least one first object and the at least one second object. ### Claim 9 (depends on 8) The method of claim 8, wherein the feature information includes at least one of an attributive feature or an appearance feature. ### Claim 10 (depends on 9) The method of claim 9, wherein the appearance feature includes at least one of a contour, a texture, a color, a pixel value, a contrast, or a grayscale. ### Claim at position 11 11-20. (canceled) ### Claim 21 A system for obtaining at least one image, comprising: at least one storage device including a set of instructions; and at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including: determining at least one first object in a first monitoring image acquired by a first capture device; determining a target monitoring position based on position information associated with the at least one first object in the first monitoring image; obtaining a second monitoring image associated with the target monitoring position acquired by a second capture device; determining at least one second object in the second monitoring image; identifying at least one matched second object from the at least one second object based on relevancy information among the at least one second object and the at least one first object, wherein for each of the at least one matched second object, a relevancy between the matched second object and one of the at least one first object satisfies a preset matching condition; and directing the second capture device to capture at least one capture image of the at least one matched second object. ### Claim 22 A non-transitory computer readable medium, comprising executable instructions that, when executed by at least one processor, direct the at least one processor to perform a method, the method comprising: determining at least one first object in a first monitoring image acquired by a first capture device; determining a target monitoring position based on position information associated with the at least one first object in the first monitoring image; obtaining a second monitoring image associated with the target monitoring position acquired by a second capture device; determining at least one second object in the second monitoring image; identifying at least one matched second object from the at least one second object based on relevancy information among the at least one second object and the at least one first object, wherein for each of the at least one matched second object, a relevancy between the matched second object and one of the at least one first object satisfies a preset matching condition; and directing the second capture device to capture at least one capture image of the at least one matched second object. ### Claim 23 (depends on 21) The system of claim 21, the operations further including: for each of the at least one matched second object, marking a first object that is matched with the matched second object. ### Claim 24 (depends on 23) The system of claim 23, wherein at least one marked first object corresponding to the at least one matched second object is ignored in a subsequent capturing process. ### Claim 25 (depends on 21) The system of claim 21, wherein the determining the target monitoring position based on the position information associated with the at least one first object in the first monitoring image comprises: obtaining a historical set including at least one historically marked object; identifying at least one negligible first object from the at least one first object based on relevancy information among the at least one first object and at least part of the at least one historically marked object, wherein for each of the at least one negligible first object, a relevancy between the negligible first object and one of the at least one historically marked object satisfies the preset matching condition; excluding the at least one negligible first object from the at least one first object; and determining the target monitoring position based on position information associated with remainder first objects. ### Claim 26 (depends on 21) The system of claim 21, wherein the determining the target monitoring position based on the position information associated with the at least one first object in the first monitoring image comprises: determining a cluster by processing the position information associated with the at least one first object using a clustering algorithm; and determining the target monitoring position based on the cluster. ### Claim 27 (depends on 26) The system of claim 26, the operations further including: adjusting the clustering algorithm based on a shape of the second capture device. ### Claim 28 (depends on 21) The system of claim 21, wherein the determining the target monitoring position based on the position information associated with the at least one first object in the first monitoring image comprises: for each of the at least one first object, determining motion information of the first object based on a plurality of first monitoring images including the first object acquired by the first capture device; obtaining motion information of the second capture device; and determining the target monitoring position based on the motion information of the at least one first object and the motion information of the second capture device. ### Claim 29 (depends on 21) The system of claim 21, wherein the relevancy information is associated with at least one of: position information of the at least one first object and the at least one second object; or feature information of the at least one first object and the at least one second object. ### Claim 30 (depends on 29) The system of claim 29, wherein the feature information includes at least one of an attributive feature or an appearance feature.