Overview on automatic detection of human body

Automatic detection of human in a video sequence is a canonical instance of object detection. It's considered as a nonrigid object; it has many appearances at different perspectives. Different approaches are used by several methods to combine what is specific to the pedestrian detection, and wh...

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Bibliographic Details
Main Authors: Ould Taleb, Nagi, Chergui, Adil, Ben Maati, Mohamed Larbi, Nanne, Mohamedade Farouk
Format: Conference Proceeding
Language:English
Subjects:
Advertising
behavior analysis
Classification algorithms
Detectors
Feature extraction
Image color analysis
learned-based methods
pedestrian/human detection
Shape
statistical model-based training
Support vector machines
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Summary:Automatic detection of human in a video sequence is a canonical instance of object detection. It's considered as a nonrigid object; it has many appearances at different perspectives. Different approaches are used by several methods to combine what is specific to the pedestrian detection, and what is common to the object recognition. A robust solution to this problem would have numerous applications to design smart systems, including video surveillance, power management, vehicle driver assistance systems, and evaluation of advertising policies. In this article we will discuss the main techniques of human (pedestian) detection on video sequence. Especially those how are learning-based methods. Then we describe in general terms the type of information that can be extracted once the detection is performed.
ISSN:2472-7652
DOI:10.1109/ICMCS.2016.7905638