Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification

2018 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme.2018.8486597 ◽

2018 ◽

Author(s):

Long Chen ◽

Haizhou Ai ◽

Zijie Zhuang ◽

Chong Shang

Keyword(s):

Real Time ◽

Candidate Selection ◽

People Tracking ◽

Multiple People Tracking

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Real-time multiple people tracking using competitive condensation

Object recognition supported by user interaction for service robots ◽

10.1109/icpr.2002.1044739 ◽

2003 ◽

Author(s):

Heegu Kang ◽

Daijin Kim ◽

Sung Yang Bang

Keyword(s):

Real Time ◽

People Tracking ◽

Multiple People Tracking

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Real-time multiple people tracking using competitive condensation

Pattern Recognition ◽

10.1016/j.patcog.2004.12.008 ◽

2005 ◽

Vol 38 (7) ◽

pp. 1045-1058 ◽

Author(s):

Hee-Gu Kang ◽

Daijin Kim

Keyword(s):

Real Time ◽

People Tracking ◽

Multiple People Tracking

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Real-time multiple people tracking using competitive condensation

Proceedings International Conference on Image Processing ICIP-02 ◽

10.1109/icip.2002.1038971 ◽

2003 ◽

Author(s):

Heegu Kang ◽

Daijin Kim ◽

Sung Yang Bang

Keyword(s):

Real Time ◽

People Tracking ◽

Multiple People Tracking

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Real-time multiple people tracking for automatic group-behavior evaluation in delivery simulation training

Multimedia Tools and Applications ◽

10.1007/s11042-009-0423-4 ◽

2009 ◽

Vol 51 (3) ◽

pp. 913-933 ◽

Author(s):

Jungong Han ◽

Peter H. N. de With

Keyword(s):

Real Time ◽

Simulation Training ◽

Group Behavior ◽

People Tracking ◽

Automatic Group ◽

Multiple People Tracking

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Real time multiple people tracking and pose estimation

Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis - MPVA '10 ◽

10.1145/1878039.1878042 ◽

2010 ◽

Author(s):

Feifei Huo ◽

Emile A. Hendriks

Keyword(s):

Real Time ◽

Pose Estimation ◽

People Tracking ◽

Multiple People Tracking

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Dynamic Multi-Loss Weighting for Multiple People Tracking in Video Surveillance Systems

10.1109/indin45523.2021.9557515 ◽

2021 ◽

Author(s):

Xuan-Thuy Vo ◽

Tien-Dat Tran ◽

Duy-Linh Nguyen ◽

Kang-Hyun Jo

Keyword(s):

Video Surveillance ◽

Surveillance Systems ◽

People Tracking ◽

Multiple People Tracking

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Real-time monocular people tracking by sequential Monte-Carlo filtering

Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications - MIRAGE '13 ◽

10.1145/2466715.2466728 ◽

2013 ◽

Author(s):

Christian A. L. Waechter ◽

Daniel Pustka ◽

Gudrun J. Klinker

Keyword(s):

Monte Carlo ◽

Real Time ◽

Sequential Monte Carlo ◽

People Tracking

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Real-time multi-people tracking by greedy likelihood maximization

Proceedings of the 9th International Conference on Distributed Smart Camera - ICDSC '15 ◽

10.1145/2789116.2789125 ◽

2015 ◽

Author(s):

Nyan Bo Bo ◽

Francis Deboeverie ◽

Peter Veelaert ◽

Wilfried Philips

Keyword(s):

Real Time ◽

People Tracking

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Multiple People Tracking Using an Appearance Model Based on Temporal Color

Biologically Motivated Computer Vision - Lecture Notes in Computer Science ◽

10.1007/3-540-45482-9_37 ◽

2000 ◽

pp. 369-378 ◽

Author(s):

Hyung-Ki Roh ◽

Seong-Whan Lee

Keyword(s):

Appearance Model ◽

People Tracking ◽

Model Based ◽

Multiple People Tracking

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Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stw656 ◽

2016 ◽

Vol 459 (1) ◽

pp. 1104-1123 ◽

Author(s):

R. J. Lyon ◽

B. W. Stappers ◽

S. Cooper ◽

J. M. Brooke ◽

J. D. Knowles

Keyword(s):

Real Time ◽

Candidate Selection ◽

Classification Approach ◽

Real Time Classification

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