Results 281 to 290 of about 4,817,825 (346)

Single-Pedestrian Detection Aided by Two-Pedestrian Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
In this paper, we address the challenging problem of detecting pedestrians who appear in groups. A new approach is proposed for single-pedestrian detection aided by two-pedestrian detection. A mixture model of two-pedestrian detectors is designed to capture the unique visual cues which are formed by nearby pedestrians but cannot be captured by single ...
Wanli Ouyang, Xingyu Zeng, Xiaogang Wang   +2 more
exaly   +3 more sources

YOLOv8 for Pedestrian Detection: A Comparative Study for Pedestrian Detection

2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
This research analyzes the usefulness of YOLOv8 for robust pedestrian recognition in demanding real world situations. A custom-trained YOLOv8 model is evaluated against SSD models, displaying better accuracy in detecting and localizing human classes ...
Sivaraman G, Sophiya E, Diviya M
openaire   +2 more sources

Multi-spectral pedestrian detection

Signal Processing, 2015
Pedestrian detection is a crucial problem in human pose recovery and behavior analysis, especially in applications such as visual surveillance, robotics, and drive-assistance systems. Recently, most pedestrian detection approaches of machine learning and signal processing have achieved advanced performance in traditional natural images.
Yuan, Yuan, Lu, Xiaoqiang, Chen, Xiao
openaire   +3 more sources

Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection

IEEE transactions on multimedia, 2023
Multispectral pedestrian detection is an important and valuable task in many applications, which could provide a more accurate and reliable pedestrian detection result by using the complementary visual information from color and thermal images.
Qing Li, Changqing Zhang, Q. Hu, H. Fu, Pengfei Zhu   +4 more
semanticscholar   +1 more source

Pedestrian Detection Using Multi-Scale Structure-Enhanced Super-Resolution

IEEE transactions on intelligent transportation systems (Print), 2023
Pedestrian detection remains a crucial technology for applications such as autonomous driving and gait recognition and continues to be a prominent research area.
Wei-Yen Hsu, Peikun Yang
semanticscholar   +1 more source

Improving pedestrian detection

2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016
Pedestrian detection is an active problem in computer vision research, with applications in robotics, self-driving cars and surveillance. It involves generating bounding boxes to indicate the location of every pedestrian in an input image. This paper proposes a method to augment a basic pedestrian detector with a Convolutional Neural Network.
Jamie Bowers, Richard D. Green
openaire   +1 more source

Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving

Computer Vision and Pattern Recognition, 2023
Autonomous driving systems rely heavily on the underlying perception module which needs to be both performant and efficient to allow precise decisions in realtime.
Abdul Hannan Khan, M. Nawaz, A. Dengel
semanticscholar   +1 more source

Autonomous pedestrian detection

AFRICON 2015, 2015
In this paper we present a method of detecting and tracking pedestrians from a moving vehicle. We accomplish this by using Histogram of Oriented Gradients (HOG) as a detector and two tracking algorithms, the Kalman filter and the particle filter. The Kalman filter tracks the pedestrians on the road in-front of the vehicle.
Makhosini P. Nkosi, Gerhard P. Hancke 0001, Rogerio M. A. dos Santos   +2 more
openaire   +1 more source

Trainable pedestrian detection

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003
Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily configurable to a new domain or environment. In this paper, we present work on a general object detection system that can be trained to detect different types of objects; we focus ...
Constantine Papageorgiou, Tomaso A. Poggio   +1 more
openaire   +1 more source

Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection

IEEE transactions on circuits and systems for video technology (Print), 2022
Multispectral pedestrian detection has received great attention in recent years as multispectral modalities (i.e. color and thermal) can provide complementary visual information.
Jung Uk Kim, Sungjune Park, Yong Man Ro
semanticscholar   +1 more source