Image processing device and method, image processing system, and image processing program
US-2015116504-A1 · Apr 30, 2015 · US
US10412345B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10412345-B2 |
| Application number | US-201514943468-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 17, 2015 |
| Priority date | May 28, 2013 |
| Publication date | Sep 10, 2019 |
| Grant date | Sep 10, 2019 |
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Related to the field of security protection, a video surveillance method, apparatus, and system, which can implement local magnification of a moving object in a surveillance scene. The method includes obtaining, by a client, an intelligent analysis alarm and moving track information of at least one alarm triggering object, and adjusting a window layout of a user interface according to the intelligent analysis alarm, where the intelligent analysis alarm is triggered by the client, a surveillance platform, or a camera when determining that there is an intrusion object in a surveillance scene according to an intelligent analysis strategy; and performing, by the client, local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object. The present disclosure is applicable to video surveillance of important places.
Opening claim text (preview).
What is claimed is: 1. A video surveillance method, comprising: obtaining, by a client, an intelligent analysis alarm and moving track information of at least one alarm triggering object; adjusting a window layout of a user interface according to the intelligent analysis alarm, wherein the intelligent analysis alarm is triggered by at least one of the client, a surveillance platform, or a single camera when determining that there is an intrusion object in a surveillance scene according to an intelligent analysis strategy, and wherein the intelligent analysis strategy only uses video from the single camera to determine that there is the intrusion object in the surveillance scene; performing, by the client, local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object, wherein the local magnification is performed by obtaining a current real-time image of the video from the single camera and using a position of the at least one alarm triggering object in the current real-time image of the video from the single camera as a center of the local magnification; detecting a second alarm triggering object simultaneously with the at least one alarm triggering object in the surveillance scene using the video from the single camera; and generating multiple panes to simultaneously display images that are magnified locally using the at least one alarm triggering object and the second alarm triggering object as centers of the multiple panes. 2. The video surveillance method of claim 1 , further comprising: obtaining continuously, by the client, the moving track information of the at least one alarm triggering object after the at least one alarm triggering object moves; and performing, by the client, local magnification on the at least one alarm triggering object according to the moving track information of the at least one alarm triggering object, such that the at least one alarm triggering object is always displayed in the center of a video picture of a corresponding window in the user interface. 3. The video surveillance method of claim 2 , wherein performing, by the client, the local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object comprises: obtaining, by the client, position information of the at least one alarm triggering object from the moving track information of the at least one alarm triggering object; obtaining, by the client, a current real-time image, and matching the real-time image with the position information of the at least one alarm triggering object; to find a position of the at least one alarm triggering object in the real-time image; and performing, by the client, local magnification on the at least one alarm triggering object using the position of the at least one alarm triggering object in the real-time image as a center. 4. The video surveillance method of claim 1 , wherein when the intelligent analysis alarm is triggered by the client when determining that there is the intrusion object in the surveillance scene according to the intelligent analysis strategy, obtaining, by the client, the intelligent analysis alarm and moving track information of at least one alarm triggering object, and adjusting the window layout of the user interface according to the intelligent analysis alarm comprises: triggering, by the client, the intelligent analysis alarm when determining that there is the intrusion object in the surveillance scene according to the intelligent analysis strategy that is configured by a user, and recording the moving track information of the at least one alarm triggering object; and adjusting, by the client, the window layout of the user interface according to the intelligent analysis alarm. 5. The video surveillance method of claim 1 , wherein when the intelligent analysis alarm is triggered by the surveillance platform when determining that there is the intrusion object in the surveillance scene according to the intelligent analysis strategy, obtaining, by the client, the intelligent analysis alarm and moving track information of at least one alarm triggering object, and adjusting the window layout of the user interface according to the intelligent analysis alarm comprises: receiving, by the client, the intelligent analysis alarm that is reported by the surveillance platform when determining that there is the intrusion object in the surveillance scene according to the intelligent analysis strategy that is configured by a user; receiving, by the client, the moving track information of the at least one alarm triggering object that is obtained by the surveillance platform after generating the intelligent analysis alarm; and adjusting, by the client, the window layout of the user interface according to the intelligent analysis alarm. 6. The video surveillance method of claim 1 , wherein the intelligent analysis strategy comprises a perimeter intrusion detection strategy, a tripwire detection strategy, a loitering detection strategy, and a presence detection strategy. 7. The video surveillance method of claim 1 , wherein the single camera is a fixed box camera, and wherein no other camera is used in the method. 8. A client, comprising: a memory comprising instructions; and a processor coupled to the memory, wherein the instructions cause the processor to be configured to: obtain an intelligent analysis alarm and moving track information of at least one alarm triggering object, wherein the intelligent analysis alarm is triggered by at least one of the client, a surveillance platform, or a single camera when determining that there is an intrusion object in a surveillance scene according to an intelligent analysis strategy, and wherein the intelligent analysis strategy only uses video from the single camera to determine that there is the intrusion object in the surveillance scene; adjust a window layout of a user interface according to the intelligent analysis alarm; perform local magnification on the at least one alarm triggering object according to moving track information of the at least one alarm triggering object, wherein the local magnification is performed by obtaining a current real-time image of the video from the single camera and using a position of the at least one alarm triggering object in the current real-time image of the video from the single camera as a center of the local magnification; detect a second alarm triggering object simultaneously with the at least one alarm triggering object in the surveillance scene using the video from the single camera; and generate multiple panes to simultaneously display images that are magnified locally using the at least one alarm triggering object and the second alarm triggering object as centers of the multiple panes. 9. The client of claim 8 , wherein the instructions further cause the processor to be configured to: continuously obtain the moving track information of the at least one alarm triggering object after the at least one alarm triggering object moves; and perform local magnification on the at least one alarm triggering object according to the moving track information of the at least one alarm triggering object, such that the at least one alarm triggering object is always displayed in the center of a video picture of a corresponding window in the user interface. 10. The client of claim 9 , wherein the instructions further cause the processor to be configured to: obtain position information of the at least one alarm triggering object from the moving track information of the at least one alarm triggering object; obtain a current real-time image; m
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for receiving images from a single remote source · CPC title
Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position · CPC title
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Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title
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