Variable-speed target searching technology based on regional thermodynamic diagram

Abstract

The invention discloses a variable-speed target search technology based on a regional thermodynamic diagram, and the technology comprises the following steps: S1, carrying out the digitization of parameters; s2, target detection: searching the area according to the search strategy table, processing the image or video data in the search area by using the existing target detection algorithm, and identifying and recording the positions of all potential targets; s3, updating the thermodynamic diagram according to the detected target position: based on the target detection result collected in the first step, counting the occurrence frequency of the target in each pixel point or the preset area, and generating the thermodynamic diagram; and S4, updating a search strategy according to the thermodynamic diagram. The method has the core that the search mode and speed are intelligently adjusted according to the target appearance frequency (namely the thermodynamic value) by dynamically generating and analyzing the thermodynamic diagram of the search area, so that more efficient target search is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of target search, and particularly to a variable-speed target search technology based on a regional heat map. Background Art

[0002] In various application scenarios such as security monitoring, military reconnaissance, and disaster relief, it is crucial to quickly and accurately search for specific targets. Traditional target search methods often use a fixed speed or a random path for scanning. This method is inefficient when the target distribution is uneven. Especially in areas with dense targets, key information may be missed, while in areas with sparse targets, a large amount of time and resources are wasted. Therefore, it is particularly important to develop a technology that can dynamically adjust the search strategy according to the target distribution. Summary of the Invention

[0003] In order to solve the above-mentioned deficiencies of the prior art, the present invention proposes a variable-speed target search technology based on a regional heat map.

[0004] In order to solve the above technical problems, the present invention adopts the following technical solutions: A variable-speed target search technology based on a regional heat map, including the following steps,

[0005] S1. Parameterize the parameters

[0006] Initialize the heat map and the search strategy table according to the size of the search space. The calculation steps are as follows:

[0007] M(i) = 0, 1 ≤ i ≤ m

[0008] Q(i) = v, 1 ≤ i ≤ m

[0009] Where:

[0010] m - represents the size of the search space;

[0011] v - represents the initial search speed;

[0012] M - represents the heat map array;

[0013] Q - represents the strategy table array;

[0014] S2. Detect the target

[0015] Search the area according to the search strategy table, and process the image or video data in the search area by using the existing target detection algorithm to identify and record the positions of all potential targets;

[0016] S3. Update the heat map according to the detected target positions

[0017] Based on the object detection results collected in the first step, count the frequency of the appearance of the object in each pixel or preset area (such as a grid cell) to generate a heat map;

[0018] S4. Update the search strategy according to the heat map

[0019] According to the heat values in the heat map, dynamically adjust the moving speed or scanning rate of the search device. In the areas with higher heat values, that is, the areas where the object frequently appears, adopt a smaller scanning speed or a more detailed search mode to increase the probability of finding the object; on the contrary, in the areas with lower heat values, adopt a faster scanning speed to save time and expand the search coverage.

[0020] Furthermore, in step S2, a specific object detection algorithm is used to detect the object.

[0021] Furthermore, in step S3, update the heat map according to the detected object position, through the calculation method of M(p i ) = M(p i ) + 1,

[0022] where:

[0023] p i —— represents the position of the i-th detected object.

[0024] Furthermore, in step S4, update the search strategy according to the heat map obtained in S3 in cooperation with the calculation method,

[0025] where:

[0026] v min —— represents the minimum search speed;

[0027] v max —— represents the maximum search speed.

[0028] Compared with the prior art, the beneficial effects of the present invention:

[0029] 1. The present invention proposes a variable-speed object search technology based on the regional heat map. The core lies in dynamically generating and analyzing the heat map of the search area, and intelligently adjusting the search method and speed according to the frequency of the appearance of the object (i.e., the heat value) to achieve more efficient object search.

[0030] 2. The variable-speed scanning technology based on the regional heat map proposed by the present invention significantly shortens the time interval for detecting targets, effectively improves the search efficiency. At the same time, it realizes the optimization of search resources, quickly scans in low heat value areas, reduces unnecessary resource consumption, and ensures fine search in key areas, achieving reasonable allocation of resources. In addition, this technology can automatically adjust the search strategy according to different search scenarios and target distribution characteristics, and has strong versatility and adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the module flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The invention will be described in detail below with reference to the drawings and embodiments.

[0033] Embodiment 1

[0034] A variable-speed target search technology based on the regional heat map includes the following steps:

[0035] S1. Parameter dataization

[0036] Initialize the heat map and the search strategy table according to the size of the search space. The calculation steps are as follows:

[0037] M(i) = 0, 1 ≤ i ≤ m

[0038] Q(i) = v, 1 ≤ i ≤ m

[0039] Where:

[0040] m - represents the size of the search space;

[0041] v - represents the initial search speed;

[0042] M - represents the heat map array;

[0043] Q - represents the strategy table array;

[0044] S2. Detect the target

[0045] Search the area according to the search strategy table, and use a specific target detection algorithm to detect the target. This target detection algorithm is an existing algorithm, which processes the image or video data in the search area, identifies and records the positions of all potential targets;

[0046] S3. Update the heat map according to the detected target position

[0047] Based on the target detection results collected in the first step, count the frequency of target appearance in each pixel or preset area (such as grid cell) to generate a heat map, through M(pi ) = M(p i ) + 1 calculation method, p i —— represents the position of the i-th detected target.;

[0048] S4. Update the search strategy according to the heat map

[0049] According to the heat values in the heat map, dynamically adjust the moving speed or scanning rate of the search device. In areas with higher heat values, that is, areas where targets frequently appear, adopt a smaller scanning speed or a more detailed search mode to increase the probability of detecting targets; on the contrary, in areas with lower heat values, adopt a faster scanning speed to save time and expand the search coverage area.

[0050] According to the heat map obtained in S3, cooperate with the calculation method to update the search strategy,

[0051] wherein:

[0052] v min —— represents the minimum search speed;

[0053] v max —— represents the maximum search speed.

[0054] The above embodiments only express several implementation manners of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the patent and protection scope of the present invention should be subject to the appended claims.

Claims

1. A variable speed target search technology based on regional heat map, characterized in that: The following steps are included: S1. Convert parameters into data Initialize the heat map and search strategy table according to the size of the search space. The calculation steps are as follows: M(i)=0,1≤i≤m Q(i)=v,1≤i≤m in: m——indicates the size of the search space; v——indicates the initial search speed; M——represents the heat map array; Q——indicates the strategy table array; S2. Detect the target Search the area according to the search strategy table, and use the existing target detection algorithm to process the image or video data in the search area to identify and record the locations of all potential targets; S3. Update the heat map according to the detected target position Based on the target detection results collected in the first step, the frequency of target occurrence at each pixel or in the preset area is counted to generate a heat map; S4. Update search strategy based on heat map According to the heat value in the heat map, the moving speed or scanning rate of the search device is dynamically adjusted. In areas with higher heat values, that is, areas where targets frequently appear, a lower scanning speed or a more detailed search mode is used to increase the probability of finding the target; on the contrary, in areas with lower heat values, a faster scanning speed is used to save time and expand the search coverage.

2. The variable speed target search technology based on regional heat map according to claim 1, characterized in that: In step S2, the step detects the object using a specific object detection algorithm.

3. A variable speed target search technology based on a regional heat map as described in any one of claims 1 to 2, characterized in that: In step S3, the heat map is updated according to the detected target position, through M(p i )=M(p i )+1 calculation method, in: p i ——Indicates the position of the i-th target detected.

4. The variable speed target search technology based on regional heat map as claimed in claim 3, characterized in that: In step S4, according to the heat map obtained in S3, The calculation method updates the search strategy, in: v min ——Indicates the minimum search speed; v max ——Indicates the maximum search speed.

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