People Counting System Using Video Camera

People Counting System Using Video Camera

Jesús Peña-Ruiz, Jesús B. Alonso, Carlos M. Travieso
Copyright: © 2015 |Pages: 11
DOI: 10.4018/978-1-4666-5888-2.ch640
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The security in the quotidian life is the main objective of the video surveillance systems that are established to look after and have consciousness of everything that happens around. These systems, through numerous cameras and control units, are the responsible for monitoring everything that happens, in order to have a total knowledge of the things that happen in the places where the mentioned systems are implemented (Karmann & Brandt, 2007).

The video surveillance systems have obtained more demand in numerous applications every time. Thanks to the technological evolution, it has been achieved that the fact of installing video cameras do not require of high economic investments, which has made possible that the majority of banks, stations, airports, parking lots, highways, stores, etc., (Hashimoto, Morinaka, Yoshiike, Kawaguchi, & Matsueda, 1997), can add in their installation the mentioned security systems, with a more or less complexity and precision, based on the video surveillance.

The main idea of this article is the counting of people through a video surveillance system (Xing, Ai, Liu, & Lao, 2011). Numerous are the authors who have developed this idea in the environment of the video surveillance systems, either supported by visible cameras, infrared, thermic or other techniques of capturing images (Li, Huang, & Liu, 2011).

A classification of the diverse current systems based on the counting of people can be established, according to the type of camera being used, the number of cameras used to capture images, the places where the counting is made, either indoors or outdoors, etc.

Key Terms in this Chapter

Foreground: the part of a scene situated towards the front or nearest to the viewer.

Digital Image Processing: The digital image processing is the set of techniques applied to digital images in order to improve quality or facilitate the search for information.

Thresholding: The thresholding a grayscale image, we can as a threshold defined by some method, which is separate fund, which is subject, as long as the background and the object have gray levels grouped into two dominant modes.

Centroid: The center of mass of an object with uniform density. For a two-dimensional irregular object, the centroid is the equilibrium point of the object.

Frame: A particular image in a sequence of images that make up an animation. The continuous succession of these frames occurs at the sight of the sense of movement, a phenomenon given the small differences between each.

Background: the part of a scene or view furthest from the viewer.

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