Small target detection method and device, computer equipment and storage medium

A technology of small target detection and target detection algorithm, applied in the field of video detection, can solve problems such as incompleteness, low accuracy of detection results, and inconspicuousness, and achieve the effect of improving accuracy

Pending Publication Date: 2020-07-31
BEIJING QIHOO TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the popularization of target detection technology in video, the target detection algorithm based on deep learning is more accurate for large objects and unoccluded objects. Obvious or incomplete, resulting in lower accuracy of test results

Method used

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  • Small target detection method and device, computer equipment and storage medium
  • Small target detection method and device, computer equipment and storage medium
  • Small target detection method and device, computer equipment and storage medium

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Embodiment

[0077] Those skilled in the art can understand that the "terminal" and "terminal equipment" used here not only include wireless signal receiver equipment, which only has wireless signal receiver equipment without transmission capabilities, but also include receiving and transmitting hardware. A device having receiving and transmitting hardware capable of performing bi-directional communication over a bi-directional communication link. Such equipment may include: cellular or other communication equipment, which has a single-line display or a multi-line display or a cellular or other communication equipment without a multi-line display; PCS (Personal Communications Service, personal communication system), which can combine voice, data Processing, facsimile and / or data communication capabilities; PDA (Personal Digital Assistant, Personal Digital Assistant), which may include radio frequency receiver, pager, Internet / Intranet access, web browser, notepad, calendar and / or GPS (Globa...

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Abstract

The embodiment of the invention discloses a small target detection method and device, computer equipment and a storage medium, wherein the method comprises the following steps: obtaining a motion region in a to-be-detected video, wherein the motion region comprises a target object; amplifying the motion area according to a preset proportion to obtain a to-be-detected target area; and detecting thetarget object in the target area through a preset target detection algorithm. According to the method, the motion area is acquired from the to-be-detected video, the motion area is amplified, and thetarget object is detected in the target area through the target detection algorithm, so that the characteristics of a tiny target or a shielded target can be amplified to a certain extent, and the recognition accuracy of the target detection algorithm on the target object is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of video detection, in particular to a small target detection method, device, computer equipment and storage medium. Background technique [0002] Deep learning originates from the research of artificial neural networks. Its motivation is to establish and simulate the neural network of the human brain for analysis and learning, and to imitate the mechanism of the human brain to explain data, such as images, sounds and texts. That is, deep learning forms more abstract high-level representation attribute categories or features by combining low-level features to discover distributed feature representations of data. [0003] With the rapid development of deep learning, deep learning has broad application prospects in various fields. For example, applying deep learning to video to detect objects. [0004] With the popularization of target detection technology in video, the target detection algorithm...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06T7/11G06T7/136G06T7/254
CPCG06T7/11G06T7/136G06T7/254G06N3/084G06T2207/20132G06V20/41G06V2201/07G06N3/045G06F18/214
Inventor 何军林刘洛麒
Owner BEIJING QIHOO TECH CO LTD
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