An Improved Pedestrian Detection Algorithm Integrating Haar-Like Features and HOG Descriptors
نویسندگان
چکیده
منابع مشابه
Pedestrian detection using HoG features
Human Detection in Images is a contemporary Computer Vision problem, still welcoming improved solutions. This subset area of object detection has seen many attempts made towards efficient implementation and in this project proposal we describe one based on Histogram of Oriented Gradients which proves to be superior than the rest in terms of both Detection rate and Error rate when using a Linear...
متن کاملVision-based Pedestrian Detection Using Haar-like Features
This paper describes a vision-based pedestrian detection system for robots, and autonomous vehicles. For that purpose the Haar-like features were used to discriminate pedestrians. Those features were used as input in a learning algorithm, based on AdaBoost, which selects a small number of critical visual features from a larger set and yields an extremely efficient classifier. The proposed syste...
متن کاملPedestrian Detection and Tracking Using HOG and Oriented-LBP Features
During the last decade, various successful human detection methods have been developed. However, most of these methods are focused on finding powerful features or classifiers to obtain high detection rate. In this work we introduce a pedestrian detection and tracking system to extract and track human objectives using an on board monocular camera. The system is composed of three stages. A pedest...
متن کاملEnhancement of Fast Pedestrian Detection Using Hog Features
Histograms of Oriented Gradients (HOG) suffers low processing speed, due to complex and redundant computations. In this paper, a method to improve the speed of detection while maintaining the accuracy has been proposed. This is implemented without using any special purpose hardware such as GPU. The speed has been substantially increased through the calculations of trilinear interpolation within...
متن کاملPedestrian Detection Based on Informed Haar-like Features and Switchable Deep Network
As pedestrians usually appear up-right in image or video data, we therefore employ a statistical model of the up-right human body where the head, the upper body, and the lower body are treated as three distinct components. As we incorporate different kinds of low-level measurements, the resulting multi-modal & multi-channel Haar-like features represent characteristic differences between parts o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Mechanical Engineering
سال: 2013
ISSN: 1687-8140,1687-8140
DOI: 10.1155/2013/546206