Image block deep learning characteristic based infrared pedestrian detection method

Abstract

The invention relates to an image block deep learning characteristic based infrared pedestrian detection method, and belongs to the technical fields of image processing a computer vision. According to the method, a data set is divided into a training set and a test set. In a training stage, firstly, small image blocks are extracted in a sliding manner on positive and negative samples of the infrared pedestrian data set, clustering is carried out, and one convolutional neural network is trained for each type of image blocks; and then feature extraction is carried out on the positive and negative samples by using the trained convolutional neural network group, and an SVM classifier is trained. In a test stage, firstly, a region-of interest is extracted for a test image, then feature extraction is carried out on the region-of-interest by using the trained convolutional neural network group, and finally prediction is performed by using the SVM classifier. The infrared pedestrian detection method achieves a purpose of pedestrian detection via a mode of detecting whether each region-of-interest belongs to a pedestrian region or not, so that pedestrians in an infrared image can be detected accurately under the conditions such that the detection scene is complicated, the environment temperature is high, and the pedestrians vary greatly in scale attitude, and the method provides support for research in follow-up related fields such as intelligent video.

Description

technical field [0001] The invention belongs to the technical field of image processing and computer vision, and relates to an infrared pedestrian detection method based on deep learning features of image blocks. Background technique [0002] In recent years, intelligent video analysis has become an important task in the field of computer vision. At this stage, intelligent video analysis is a crucial technology for many applications, including robotics, intelligent traffic surveillance, autonomous driving technology, behavior recognition, etc. In the application of intelligent video analysis, pedestrian detection is a very meaningful work, which can provide the most important element in the application scene - the position of "people". [0003] Pedestrian detection in visible light has been a hot topic for a long time. However, under different scenes, lighting conditions and even different clothing, the appearance of pedestrians may vary greatly. Infrared images are relat...

AI Technical Summary

Problems solved by technology

The extraction of this type of features conforms to the characteristics of infrared images, but the information provided is too little

In recent years, related algorithms have proposed to use deep learning-based features for infrared pedestrian detection, but due to the current small dataset of infrared pedestrian images, such features are difficult to be universal

Images