Real Time Robust Human Detection and Tracking System

2006 ◽  
Author(s):  
Jianpeng Zhou ◽  
Jack Hoang
Keyword(s):  
Real Time ◽  
Tracking System ◽  
Human Detection ◽  
Detection And Tracking

scholarly journals Privacy-Aware Human-Detection and Tracking System Using Biological Signals

2019 ◽  
Vol E102.B (4) ◽  
pp. 708-721
Author(s):  
Toshihiro KITAJIMA ◽  
Edwardo Arata Y. MURAKAMI ◽  
Shunsuke YOSHIMOTO ◽  
Yoshihiro KURODA ◽  
Osamu OSHIRO
Keyword(s):  
Tracking System ◽  
Human Detection ◽  
Detection And Tracking ◽  
Biological Signals

Adaptive Filtering Methods for RSSI Signals in a Device-Free Human Detection and Tracking System

2019 ◽  
Vol 13 (3) ◽  
pp. 2998-3009 ◽  
Author(s):  
Apidet Booranawong ◽  
Nattha Jindapetch ◽  
Hiroshi Saito
Keyword(s):  
Adaptive Filtering ◽  
Tracking System ◽  
Human Detection ◽  
Detection And Tracking ◽  
Device Free

scholarly journals An Intelligent Automatic Human Detection and Tracking System Based on Weighted Resampling Particle Filtering

2020 ◽  
Vol 4 (4) ◽  
pp. 27
Author(s):  
Liang Cheng Chang ◽  
Shreya Pare ◽  
Mahendra Singh Meena ◽  
Deepak Jain ◽  
Dong Lin Li ◽  
...  
Keyword(s):  
Particle Filtering ◽  
Tracking System ◽  
Human Detection ◽  
Surveillance Systems ◽  
Camera Control ◽  
Detection And Tracking ◽  
Filter Approach ◽  
And Performance ◽  
The Stability ◽  
Active Camera

At present, traditional visual-based surveillance systems are becoming impractical, inefficient, and time-consuming. Automation-based surveillance systems appeared to overcome these limitations. However, the automatic systems have some challenges such as occlusion and retaining images smoothly and continuously. This research proposes a weighted resampling particle filter approach for human tracking to handle these challenges. The primary functions of the proposed system are human detection, human monitoring, and camera control. We used the codebook matching algorithm to define the human region as a target and track it, and we used the practical filter algorithm to follow and extract the target information. Consequently, the obtained information was used to configure the camera control. The experiments were tested in various environments to prove the stability and performance of the proposed system based on the active camera.

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