Non-local attention association scheme for online multi-object tracking-Reference-Cited by-同舟云学术

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Non-local attention association scheme for online multi-object tracking

Published:2020-10 Issue: Volume:102 Page:103983
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Wang Haidong,Wang Saizhou,Lv Jingyi,Hu Chenming,Li Zhiyong

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Hunan Science and Technology Innovation Project

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference34 articles.

1. Mot16: A Benchmark for Multi-Object Tracking;Milan,2016

2. Are we ready for autonomous driving? the kitti vision benchmark suite;Geiger,2012

3. Iterative multiple hypothesis tracking with tracklet-level association;Sheng,2018

4. Faster r-cnn: towards real-time object detection with region proposal networks;Ren,2020

5. Online multi-object tracking using cnn-based single object tracker with spatial-temporal attention mechanism;Chu,2017

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1. A fuzzy decision-making system for video tracking with multiple objects in non-stationary conditions;Heliyon;2023-11

2. JDAN: Joint Detection and Association Network for Real-Time Online Multi-Object Tracking;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-02-03

3. Efficient LiDAR-Trajectory Affinity Model for Autonomous Vehicle Orchestration;IEEE Transactions on Intelligent Transportation Systems;2023

4. STURE: Spatial–Temporal Mutual Representation Learning for robust data association in online multi-object tracking;Computer Vision and Image Understanding;2022-07

5. Change Detection in SAR Images Based on Progressive Nonlocal Theory;IEEE Transactions on Geoscience and Remote Sensing;2022

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