Target identification method, target identification apparatus, terminal device and target identification system

The invention provides an online automatic deep learning-based target identification method and apparatus, a terminal device and a target identification system. The method comprises the steps of collecting image data in real time; by utilizing a stored first classifier, performing target identification on the collected image data to generate image data with a category label, wherein the category label comprises a target category and a target posterior probability; when the target posterior probability meets a predetermined storage condition, performing storage as a training sample according to the target category; and when a predetermined starting condition is met, starting online deep learning processing to obtain a third classifier, and updating the stored first classifier by using the obtained third classifier. By adopting the method, high-accuracy target identification can be realized. 本发明提供了基于在线自动深度学习的目标识别方法、目标识别装置、终端设备和目标识别系统。其中，该方法包括：实时采集图像数据；利用存储的第分类器，对采集到的图像数据进行目标识别，以生成带有类别标签的图像数据，类别标签包含目标类别以及目标后验概率；