Results 81 to 90 of about 4,817,825 (346)

An Improved Pedestrian Detection Model Based on YOLOv8 for Dense Scenes

open access: yesSymmetry
In dense scenes, pedestrians often exhibit a variety of symmetrical features, such as symmetry in body contour, posture, clothing, and appearance. However, pedestrian detection poses challenges due to the mutual occlusion of pedestrians and the small ...
Yu Fang, Huanli Pang
semanticscholar   +1 more source

Adaptive Fusion of Multi-Scale YOLO for Pedestrian Detection

open access: yesIEEE Access, 2021
Although pedestrian detection technology is constantly improving, pedestrian detection remains challenging because of the uncertainty and diversity of pedestrians in different scales and of occluded pedestrian modes.
Wei-Yen Hsu, Wen-Yen Lin
semanticscholar   +1 more source

Histogram of confidences for person detection [PDF]

open access: yes, 2010
This paper focuses on the problem of person detection in harsh industrial environments. Different image regions often have different requirements for the person to be detected.
Lee Middleton   +3 more
core   +1 more source

Fast and accurate vision-based pedestrian detection

open access: yes, 2021
Pedestrian detection is an essential task in applications such as automotive safety, surveillance, and robotics. Achieving accurate vision-based pedestrian detection faces many challenges arising from highly cluttered background, high intra-class ...
Zhou, Chengju
core   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo   +88 more
wiley   +1 more source

A Pedestrian Detection Network Based on an Attention Mechanism and Pose Information

open access: yesApplied Sciences
Pedestrian detection has recently attracted widespread attention as a challenging problem in computer vision. The accuracy of pedestrian detection is affected by differences in gestures, background clutter, local occlusion, differences in scales, pixel ...
Zhaoyin Jiang   +2 more
doaj   +1 more source

Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery

open access: yesSensors, 2016
Driven by the prominent thermal signature of humans and following the growing availability of unmanned aerial vehicles (UAVs), more and more research efforts have been focusing on the detection and tracking of pedestrians using thermal infrared images ...
Yalong Ma   +4 more
doaj   +1 more source

Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry

open access: yes, 2016
Most state-of-the-art methods in pedestrian detection are unable to achieve a good trade-off between accuracy and efficiency. For example, ACF has a fast speed but a relatively low detection rate, while checkerboards have a high detection rate but a ...
Pang, Yanwei   +3 more
core   +1 more source

PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities Using Improved YOLOv8

open access: yesDrones
In smart cities, effective traffic congestion management hinges on adept pedestrian and vehicle detection. Unmanned Aerial Vehicles (UAVs) offer a solution with mobility, cost-effectiveness, and a wide field of view, and yet, optimizing recognition ...
Noor Ul Ain Tahir   +4 more
semanticscholar   +1 more source

Semi-supervised Learning for Anomalous Trajectory Detection [PDF]

open access: yes, 2008
A novel learning framework is proposed for anomalous behaviour detection in a video surveillance scenario, so that a classifier which distinguishes between normal and anomalous behaviour patterns can be incrementally trained with the assistance of a ...
Fisher, Bob   +3 more
core   +1 more source

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