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1802.03098
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Tracking Noisy Targets: A Review of Recent Object Tracking Approaches
9 February 2018
Mustansar Fiaz
Arif Mahmood
Soon Ki Jung
AAML
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Papers citing
"Tracking Noisy Targets: A Review of Recent Object Tracking Approaches"
8 / 8 papers shown
Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics
Zahra Soleimanitaleb
Mohammad Ali Keyvanrad
240
25
0
31 Jan 2022
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks
Girik Malik
Drew Linsley
Thomas Serre
E. Mingolla
VOT
227
7
0
30 Sep 2021
Tracking Without Re-recognition in Humans and Machines
Neural Information Processing Systems (NeurIPS), 2021
Drew Linsley
Girik Malik
Junkyung Kim
L. Govindarajan
E. Mingolla
Thomas Serre
252
19
0
27 May 2021
Detecting Biological Locomotion in Video: A Computational Approach
Soo-Min Kang
Richard P. Wildes
183
1
0
26 May 2021
CheckSoft : A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces
Rohan Sarkar
A. Kak
161
1
0
21 Feb 2021
Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters
Zhibo Zhang
C. Zeng
Maulikkumar Dhameliya
Souma Chowdhury
R. Rai
207
1
0
08 Dec 2020
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong
S. Schwarcz
Peng Xu
Davide D‘Ambrosio
Juhana Kangaspunta
A. Angelova
Huong Phan
Navdeep Jaitly
232
8
0
13 Dec 2019
Deep Learning for Visual Tracking: A Comprehensive Survey
S. M. Marvasti-Zadeh
Li Cheng
Hossein Ghanei-Yakhdan
S. Kasaei
BDL
543
349
0
02 Dec 2019
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