Results 291 to 300 of about 4,817,825 (346)

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

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 0001, Chunhou Zheng 0001   +3 more
openaire   +1 more source

Attentive Alignment Network for Multispectral Pedestrian Detection

ACM Multimedia, 2023
Multispectral pedestrian detection is of great importance in various around-the-clock applications, i.e., self-driving and video surveillance. Fusing the features from RGB images and thermal infrared (TIR) images to explore the complementary information ...
Nuo Chen, Jin Xie, Jing Nie, Jiale Cao, Zhuang Shao, Yanwei Pang   +5 more
semanticscholar   +1 more source

Cascade Transformer Decoder Based Occluded Pedestrian Detection With Dynamic Deformable Convolution and Gaussian Projection Channel Attention Mechanism

IEEE transactions on multimedia, 2023
Occluded pedestrian detection is very challenging in computer vision, because the pedestrians are frequently occluded by various obstacles or persons, especially in crowded scenarios.
Chunjie Ma, L. Zhuo, Jiafeng Li, Yutong Zhang, Jing Zhang   +4 more
semanticscholar   +1 more source

Nighttime pedestrian detection based on Fore-Background contrast learning

Knowledge-Based Systems, 2023
The significance of background information is frequently overlooked in contemporary research concerning channel attention mechanisms. This study addresses the issue of suboptimal single-spectral nighttime pedestrian detection performance under low-light ...
He Yao, Yongjun Zhang, Huachun Jian, Li Zhang, Ruzhong Cheng   +4 more
semanticscholar   +1 more source

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

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

Illuminating the Bias in Pedestrian Detection

2023 IEEE International Symposium on Multimedia (ISM), 2023
Despite major advancements in state-of-the-art object detectors and low-light image enhancements, nighttime pedestrian detection remains a challenge. One commonly used solution to remedy this domain shift problem is re-training object detectors with extra nighttime scenes which is not only computationally expensive but also not generalizable.
Althoupety, Afnan, Wang, Li-Yun, Feng, Wu-Chi, Rekabdar, Banafsheh   +3 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

Detection of pedestrian crossing road

2015 IEEE International Conference on Image Processing (ICIP), 2015
Detection of pedestrian crossing road is described in this paper. Single camera is used to detect pedestrians, thus classify them as a pedestrian crossing road or not. The moving pedestrian is detected using improved sparse optical flow method. The proposed technique consists of three main components.
Joko Hariyono, Kang-Hyun Jo
openaire   +1 more source