Multi-object tracking using deformable convolution networks with tracklets updating

DOI10.1142/S0219691319500425zbMath1434.93101OpenAlexW2944930287MaRDI QIDQ5204646

Bin Fang, Zhaowei Shang, Yuanping Zhang, Yuan Yan Tang

Publication date: 5 December 2019

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691319500425

zbMATH Keywords

Kalman filtermulti-object trackingdeformable convolution networkshistogram of oriented gradient

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Machine vision and scene understanding (68T45)

Related Items (1)

Multi-object tracking using deformable convolution networks with tracklets updating

Uses Software

• DeepLab
• ImageNet
• AlexNet
• Faster R-CNN

Cites Work

• Understanding image representations by measuring their equivariance and equivalence
• Small infrared target detection based on image patch ordering
• PARTICLE FILTER BASED MULTI-CAMERA INTEGRATION FOR FACE 3D-POSE TRACKING
• Encoding Color Information for Visual Tracking: Algorithms and Benchmark
• Robust Visual Tracking via Convolutional Networks without Training
• Connected Component Model for Multi-Object Tracking
• Multi-object tracking using deformable convolution networks with tracklets updating

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