A Lightweight Face Tracking System for Video Surveillance

2016 ◽  
pp. 407-414 ◽  
Author(s):  
Andrei Oleinik
Keyword(s):  
Video Surveillance ◽  
Tracking System ◽  
Face Tracking

A super-fast online face tracking system for video surveillance

2016 ◽  
Author(s):  
Xiaosong Lan ◽  
Zhiwei Xiong ◽  
Wei Zhang ◽  
Shuxiao Li ◽  
Hongxing Chang ◽  
...  
Keyword(s):  
Video Surveillance ◽  
Tracking System ◽  
Face Tracking

Face Tracking System with Fixed CCD and PTZ Camera

2003 ◽  
pp. 904-910 ◽  
Author(s):  
Takuma Funahashi ◽  
Tsuyoshi Yamaguchi ◽  
Masafumi Tominaga ◽  
George Lashkia ◽  
Hiroyasu Koshimizu
Keyword(s):  
Tracking System ◽  
Face Tracking ◽  
Ptz Camera

scholarly journals A novel performance evaluation paradigm for automated video surveillance systems

2011 ◽  
Vol 1 (4) ◽  
Author(s):  
Chung-Hao Chen ◽  
Yi Yao ◽  
Andreas Koschan ◽  
Mongi Abidi
Keyword(s):  
Performance Evaluation ◽  
Video Surveillance ◽  
Tracking System ◽  
Failure Process ◽  
Algorithm Design ◽  
Video Tracking ◽  
Surveillance Systems ◽  
System Failures ◽  
Wide Range ◽  
Automated Video Surveillance

AbstractMost existing performance evaluation methods concentrate on defining various metrics over a wide range of conditions and generating standard benchmarking video sequences to examine the effectiveness of a video tracking system. It is a common practice to incorporate a robustness margin or factor into the system/algorithm design. However, these methods, deterministic approaches, often lead to overdesign, thus increasing costs, or underdesign, causing frequent system failures. In order to overcome the aforementioned limitations, we propose an alternative framework to analyze the physics of the failure process via the concept of reliability. In comparison with existing approaches where system performance is evaluated based on a given benchmarking sequence, the advantage of our proposed framework lies in that a unified and statistical index is used to evaluate the performance of an automated video surveillance system independent of input sequences. Meanwhile, based on our proposed framework, the uncertainty problem of a failure process caused by the system’s complexity, imprecise measurements of the relevant physical constants and variables, and the indeterminate nature of future events can be addressed accordingly.

scholarly journals Robust Multi-clue Face Tracking System

2009 ◽  
Author(s):  
Yujia Cao ◽  
Xin Wei ◽  
Li Zhao ◽  
Riccardo Di Federico
Keyword(s):  
Tracking System ◽  
Face Tracking
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