Adaptive target detection method and device based on event camera

A target detection and self-adaptive technology, which is applied in image data processing, instruments, calculations, etc., can solve the problems of high computational overhead and unsuitable for low-power computing scenarios, and achieves small computing power requirements, clear and intuitive results, and the implementation process simple effect

Active Publication Date: 2022-02-11
CHINA NANHU ACAD OF ELECTRONICS & INFORMATION TECH
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Problems solved by technology

[0005] The purpose of this application is to provide an adaptive target detection method and device based on an event camera to overcome the technical problems of the prior art, such as high computational overhead and unsuitability for low-power computing scenarios.

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  • Adaptive target detection method and device based on event camera
  • Adaptive target detection method and device based on event camera
  • Adaptive target detection method and device based on event camera

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[0031] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0032] The real brightness change signals generated by moving objects are correlated, and fast moving objects to be detected, such as moving balls, drones, birds, etc., are rigid bodies in a very short period of time, that is, the movement speed of a pixel point and the surrounding The speed of point movement in a small space-time domain is consistent. Therefore, in the event image, the frequency of events generated by really fast moving objects is higher than that of other dynamic disturbances. The coordinates of these event points generally have relatively high average time stamps, and t...

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Abstract

The invention discloses a self-adaptive target detection method and device based on an event camera. The method comprises the steps of: selecting initial time and event reconstruction interval time, enabling all events in the event reconstruction interval time range to form an event window, obtaining a mean value time graph corresponding to the event window, and initializing the center point position and side length of a self-adaptive target frame; and drawing an initial target frame in the mean value time graph, iteratively calculating the mean value and the standard deviation of all event point positions in the current target frame, and updating the target frame until an iteration termination condition is met. The method is simple in implementation process and low in computing power requirement, and an ideal effect can be achieved on a lightweight platform.

Description

technical field [0001] The present application belongs to the technical field of target detection, and in particular relates to an event camera-based adaptive target detection method and device. Background technique [0002] An event camera is a sensor that captures events, also known as a neuromorphic camera, silicon retina, or dynamic vision sensor, is an imaging sensor that can record changes in pixel brightness. The output of the event camera is an "event" or "pulse" sequence. Each event represents a change in light brightness. When the light intensity and the light intensity change at the previous moment exceed a certain threshold, a pulse is generated and transmitted by the chip. The information contained has a location , positive and negative polarity (light becomes stronger or weaker), current time. The data volume of the event sequence output by the event camera is much smaller than the data transmitted by the traditional camera, and the event sequence has no minim...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/277G06T5/00
CPCG06T7/277G06T5/002G06T2207/10016
Inventor 陈博文徐庶高爽刘庆杰马金艳管达志倪文辉
Owner CHINA NANHU ACAD OF ELECTRONICS & INFORMATION TECH
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