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High-dynamic target detection method based on event camera

A target detection and high dynamic technology, applied in the field of computer vision, can solve the problems of being easily affected by motion blur, external light, and complex background environment, etc., achieving low power consumption and small data volume , The effect of low power consumption

Inactive Publication Date: 2020-08-25
BEIHANG UNIV
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  • Abstract
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Problems solved by technology

[0005] In order to solve the problem that the existing moving target detection method is easily affected by external lighting, complex background environment and motion blur, the present invention proposes a high dynamic target detection method based on an event camera, and the specific technical solution of the present invention as follows:

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  • High-dynamic target detection method based on event camera

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Embodiment Construction

[0034] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0035] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0036] Such as figure 1 As shown, an event camera-based high dynamic target detection method includes the following steps:

[0037] S1: Get the event stream data from the event camera, and convert th...

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Abstract

The invention discloses a high-dynamic target detection method based on an event camera, and the method comprises the steps: obtaining event flow data from the event camera, and converting an event flow into an event image; adjusting the size of the event image, and converting the event image into a uniform resolution; putting the event image into a convolutional neural network to obtain a plurality of prediction boxes; and obtaining a detection result with relatively high confidence through non-maximum suppression. According to the invention, the event camera and the deep learning are combined, so that the capability of resisting illumination interference and complex background environment interference of high-dynamic target detection is improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a high dynamic target detection method based on an event camera. Background technique [0002] Object detection is a computer vision technique that finds the location and size of objects in an image. This technology can be applied to artificial intelligence systems, vehicle assisted driving systems, target behavior analysis, intelligent video surveillance and other fields. [0003] Event cameras differ from ordinary cameras in that they are bio-inspired vision sensors that output pixel-level changes in brightness. Event cameras are equivalent to traditional vision sensors operating at thousands of frames per second, but with much less data. Event cameras have low overall power, small data storage, low computational performance requirements, and several orders of magnitude greater dynamic range than ordinary cameras. The cameras are less susceptible to motio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241
Inventor 蔡志浩曾逸文赵江王英勋陈文军强祺昌
Owner BEIHANG UNIV
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