The Neural Network Method for Detection and Recognition of Moving Objects in Trajectory Tracking Tasks according to the Video Stream

O. S. Amosov, S. G. Amosova
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引用次数: 6

Abstract

The neural network method for detecting and recognizing moving objects in the tasks of trajectory tracking according to the data from surveillance cameras is offered. The new method is effective in terms of accuracy and high-speed performance. The adapted architectures of neural networks are offered to identify vehicles, people and situations.
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基于视频流的轨迹跟踪任务中运动目标检测与识别的神经网络方法
根据监控摄像机采集的数据,提出了一种用于轨迹跟踪任务中运动目标检测和识别的神经网络方法。该方法在精度和高速性能方面都是有效的。提出了神经网络的适应性架构,用于识别车辆、人员和环境。
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