Results 11 to 20 of about 443,413 (287)

A Multi-Pedestrian Tracking Algorithm for Dense Scenes Based on an Attention Mechanism and Dual Data Association

open access: yesApplied Sciences, 2022
Aiming at the problems of frequent identity switches (IDs) and trajectory interruption of multi-pedestrian tracking algorithms in dense scenes, this paper proposes a multi-pedestrian tracking algorithm based on an attention mechanism and dual data ...
Chang Li, Yiding Wang, Xiaoming Liu
doaj   +1 more source

A vehicle tracking algorithm combining detector and tracker

open access: yesEURASIP Journal on Image and Video Processing, 2020
Real-time multichannel video analysis is significant for intelligent transportation. Considering that deep learning and correlation filter (CF) tracking are time-consuming, a vehicle tracking method for traffic scenes is presented based on a detection ...
Bo Yang   +5 more
doaj   +1 more source

Asynchronous event feature generation and tracking based on gradient descriptor for event cameras

open access: yesInternational Journal of Advanced Robotic Systems, 2021
Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li   +4 more
doaj   +1 more source

Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation

open access: yesSensors, 2021
Autonomous systems need to localize and track surrounding objects in 3D space for safe motion planning. As a result, 3D multi-object tracking (MOT) plays a vital role in autonomous navigation.
Can Chen   +2 more
doaj   +1 more source

Feature Harvesting for Tracking-by-Detection [PDF]

open access: yes, 2006
We propose a fast approach to 3–D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the camera. No additional information is provided to the system, save a very rough initialization in the first frame of the training sequence. It can be used to detect the target
Mustafa Özuysal   +3 more
openaire   +1 more source

A joint algorithm of multi-target detection and tracking for underground miners

open access: yesGong-kuang zidonghua, 2022
The existing multi-target tracking algorithms for underground miners has the problems of slow detection speed and low recognition precision. In order to solve the above problems, a joint algorithm of multi-target detection and tracking algorithm based on
ZHOU Mengran   +3 more
doaj   +1 more source

Automatically detect and track multiple fish swimming in shallow water with frequent occlusion. [PDF]

open access: yesPLoS ONE, 2014
Due to its universality, swarm behavior in nature attracts much attention of scientists from many fields. Fish schools are examples of biological communities that demonstrate swarm behavior. The detection and tracking of fish in a school are of important
Zhi-Ming Qian, Xi En Cheng, Yan Qiu Chen
doaj   +1 more source

An Asymmetric Feature Enhancement Network for Multiple Object Tracking of Unmanned Aerial Vehicle

open access: yesRemote Sensing, 2023
Multiple object tracking (MOT) in videos captured by unmanned aerial vehicle (UAV) is a fundamental aspect of computer vision. Recently, the one-shot tracking paradigm integrates the detection and re-identification (ReID) tasks, striking a balance ...
Jianbo Ma   +5 more
doaj   +1 more source

Detection of Lower Body for AGV Based on SSD Algorithm with ResNet

open access: yesSensors, 2022
Detection of human lower body provides an implementation idea for the automatic tracking and accurate relocation of automatic vehicles. Based on traditional SSD and ResNet, this paper proposes an improved detection algorithm R-SSD for human lower body ...
Xinbiao Gao   +5 more
doaj   +1 more source

Research on Pedestrian Multi-Object Tracking Network Based on Multi-Order Semantic Fusion

open access: yesWorld Electric Vehicle Journal, 2023
Aiming at the problem of insufficient tracking accuracy caused by object occlusion in the process of multi-object tracking, this paper proposes a multi-order semantic fusion pedestrian multi-object tracking network. Firstly, the feature pyramid attention
Cong Liu, Chao Han
doaj   +1 more source

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