… In order to compare with other state-of-the-art pedestrian detection methods, we carried out
the experiments with images, not patches. We adopt HOG–LSS feature and MutualCascade …

… pedestrian detection method was put forward. This method was trained on the INRIA pedestrian
… And it was tested on the INRIA pedestrian dataset and another pedestrian dataset which …

… pedestrian detection, we introduce the general detector, YOLOv2, as the basic framework of
our pedestrian detection … network, adapting better for the pedestrian. For the convenience of …

… detection method by using both classical and deep learning … advantages of two kinds of
detection methods to achieve a better … kinds of detectors, the theoretical relationship of detection …

… discuss evaluation methodology in detail. A survey of pedestrian detectors is given in Section
4.1 and in Section 4.2 we discuss the 16 representative state-of-the-art detectors used in …

… novel pedestrian detection method based on the use of a convolutional neural network (CNN)
classifier. Our method … the feature representation to the detection task and regularizing the …

… Before we elaborate on pedestrian detection methods, we need to clarify the application
scenarios of pedestrian detectors. We display the automation level standards proposed by SAE […

… learning classifier which is used for pedestrian detection based on XGBoost. Our approach,
… a new static image pedestrian detection algorithm. The pedestrian feature extraction and …

This paper describes a comprehensive combination of feature extraction methods for vision-based
pedestrian detection in Intelligent Transportation Systems. The basic components of …

… Pedestrian detection is also the basis for later identification … pedestrian detection method
is the HOG+SVM pedestrian … a new real-time pedestrian detection method, which uses the …