基于卷积神经网络的目标检测
Journal of Changchun University of Technology(Natural Science Edition)(2021)
Abstract
为了完成视频图像中人体检测,将卷积神经网络和梯度算法结合.将YOLO网络模型结构以及算法函数进行了优化调整.为了保留视频时间信息,引入了卷积神经网络反馈时间维度.采用长短记忆卷积神经网络(LSTM)进行训练,通过将迭代过程的最优解保留,加快了梯度算法中的搜索速度,并且保证收敛于全局最优解.
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