Results 251 to 260 of about 4,698,050 (307)

Integrating Language-Derived Appearance Elements With Visual Cues in Pedestrian Detection

IEEE transactions on circuits and systems for video technology (Print), 2023
Large language models (LLMs) have shown their capabilities in understanding contextual and semantic information regarding knowledge of instance appearances.
Sungjune Park, Hyunjun Kim, Y. Ro
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.
M P Nkosi, G P Hancke, R M A dos Santos
openaire   +1 more source

Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems (Print), 2021
Vehicle and pedestrian detection is one of the critical tasks in autonomous driving. Since heterogeneous techniques have been proposed, the selection of a detection system with an appropriate balance among detection accuracy, speed and memory consumption
Long Chen, Shaobo Lin, Xiankai Lu, Dongpu Cao, Hangbin Wu, Chi Guo, Chun Liu, Fei-yue Wang   +7 more
semanticscholar   +1 more source

Detecting Nonexistent Pedestrians

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
We explore beyond object detection and semantic segmentation, and propose to address the problem of estimating the presence probabilities of nonexistent pedestrians in a street scene. Our method builds upon a combination of generative and discriminative procedures to achieve the perceptual capability of figuring out missing visual information. We adopt
Jui-Ting Chien, Chia-Jung Chou, Ding-Jie Chen, Hwann-Tzong Chen   +3 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 ...
C. Papageorgiou, T. Poggio
openaire   +1 more source

Automated Pedestrian Detection

Traffic Technology International, 2023
Using artificial intelligence to improve pedestrian safety in high risk road environments, such as multilane, high-speed roadways
openaire   +1 more source

MutualCascade Method for Pedestrian Detection

Neurocomputing, 2012
An effective and efficient feature selection method based on Gentle Adaboost (GAB) cascade and the Four Direction Feature (FDF), namely, MutualCascade, is proposed in this paper, which can be applied to the pedestrian detection problem in a single image.
Hulin Kuang, Yanwen Chong, Qingquan Li, Chunhou Zheng   +3 more
openaire   +1 more source

Pedestrian Detection under Progressive Occlusion

2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013
Pedestrian detection is a very promising area in computer vision, since it enables interesting and a variety of applications such as car assistance, surveillance systems and robot vision. During the last years, a variety of new techniques were proposed which greatly improved the detection rates.
Santos, Silvio G. O., Ren, Tsang Ing, Cavalcanti, George D. C., Jyh, Tsang Ing, Sijbers, Jan   +4 more
openaire   +2 more sources

Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion

IEEE transactions on circuits and systems for video technology (Print)
Multispectral pedestrian detection is an important task due to its critical role in a wide spectrum of applications. Basically, the complementary information from color and thermal images could provide a more accurate and reliable pedestrian detection ...
Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, H. Fu, Lei Chen   +5 more
semanticscholar   +1 more source

M2FNet: Mask-Guided Multi-Level Fusion for RGB-T Pedestrian Detection

IEEE transactions on multimedia
RGB-Thermal pedestrian detection has shown many notable advantages in various lighting and weather conditions by combining the information from RGB-T images.
Xiangyang Li, Shiguo Chen, Chunna Tian, Heng Zhou, Zhenxi Zhang   +4 more
semanticscholar   +1 more source