Results 81 to 90 of about 4,698,050 (307)
Pedestrian and cyclist detection based on deep neural network fast R-CNN
International Journal of Advanced Robotic Systems, 2019 In this article, a unified joint detection framework for pedestrian and cyclist is established to realize the joint detection of pedestrian and cyclist targets.
Kelong Wang, Wei Zhou
doaj +1 more source
Is Faster R-CNN Doing Well for Pedestrian Detection? [PDF]
European Conference on Computer Vision, 2016 Detecting pedestrian has been arguably addressed as a special topic beyond general object detection. Although recent deep learning object detectors such as Fast/Faster R-CNN have shown excellent performance for general object detection, they have limited
Liliang Zhang +3 more
semanticscholar +1 more source
Arthritis 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
Research and implementation of pedestrian detection technology based on smart road
物联网学报, 2019 Aiming at the problem of single detection function,higher cost and lower detection efficiency and reliability for current pedestrian detection,which was mostly realized by vehicle mounted equipment,a pedestrian detection technology based on smart road ...
Yunpeng WANG +3 more
doaj +2 more sources
Pedestrian Detection in Automotive Safety: Understanding State-of-the-Art
IEEE Access, 2019 Pedestrian detection is one of the important computer vision problems in automotive safety and driver assistance domain. It is a major component of the advanced driver assistance system (ADAS) which help the driver to drive safely.
N. K. Ragesh, R. Rajesh
doaj +1 more source
Adaptive NMS: Refining Pedestrian Detection in a Crowd [PDF]
Computer Vision and Pattern Recognition, 2019 Pedestrian detection in a crowd is a very challenging issue. This paper addresses this problem by a novel Non-Maximum Suppression (NMS) algorithm to better refine the bounding boxes given by detectors.
Songtao Liu, Di Huang, Yunhong Wang
semanticscholar +1 more source
Arthritis Care &Research, Accepted Article.Objective Knee osteoarthritis (OA) commonly affects individuals with Type 2 diabetes (T2DM) and is associated with increased risk of diabetes‐related complications. To better understand potential mechanisms, we examined the association between symptomatic knee OA and glycemic control in individuals with T2DM.
Lauren K. King +10 more
wiley +1 more source
Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis
Arthritis Care &Research, Accepted Article.Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham +14 more
wiley +1 more source
Context-compensated Probabilistic Pedestrian Detection
2024 IEEE Intelligent Vehicles Symposium (IV)Autonomous vehicles are equipped with a wide range of sensors and corresponding object detectors tuned to reliably detect vulnerable road users in a variety of conditions. However, the activation scores of these object detectors are easily influenced by contextual factors.
Willems, Tim +2 more
openaire +2 more sources