Imaging-free moving object detection and three-dimensional tracking device and method

Abstract

The invention discloses an imaging-free moving object detection and three-dimensional tracking device and method. The method comprises the following steps of controlling the spatial light modulator togenerate a set of sine stripe pattern for modulation illumination by using control equipment, dividing the generated structured light into two beams of polarized light through an imaging system and abeam splitting device, reflecting the light by the reflection device and projecting the light to a scene to be measured from two orthogonal directions, generating two beams of transmission light passing through a scene, then receiving the two beams of transmission light by a photoelectric detector, obtaining a signal amplitude by a data acquisition card, and judging whether a moving object existsin the scene and obtaining a three-dimensional space coordinate and a moving track of the moving object by control equipment according to the change of the signal amplitude. The device is simple in structure and low in cost, the method does not need to acquire, reconstruct or process the image of the object, the amount of data required to be acquired for spatial positioning is small, the data acquisition time is short, the calculation complexity is low, the consumed time is short, and long-time real-time detection and tracking of a moving object and even a high-speed moving object can be realized.

Description

technical field [0001] The invention relates to the field of moving object detection and tracking, in particular to an imaging-free moving object detection and three-dimensional tracking device and method. Background technique [0002] The detection and three-dimensional tracking of moving objects are widely used in the macro and micro worlds. At present, the methods for realizing three-dimensional tracking of moving objects mainly include binocular vision, monocular vision based on deep learning, and digital holographic microscopy, light field microscopy, and focal scanning microscopy at the micro level. These imaging-based methods mainly rely on image acquisition and processing, that is, using a camera to continuously shoot the scene where the target object is located, and using a computer to process the resulting image sequence to obtain the spatial position of the target object. Image quality is the main factor affecting positioning accuracy, and low image quality is ma...

AI Technical Summary

Problems solved by technology

However, a high frame rate will lead to a large amount of image data in a short period of time. Under the conditions of limited storage space, transmission bandwidth and computer processing power, it will cause serious damage to the storage of camera equipment, transmission equipment and receiving equipment. Enormous pressure

In the end, it can't last for a long time to shoot and track

[0004]In addition, imaging-based moving object detection and tracking often require complex image processing, such as moving target extraction, background removal, image quality improvement, etc.

The algorithms of these steps are complex and the calculation time is long, making it difficult to realize real-time detection and tracking

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