Visual detection and tracking of moving objects

Download

index.pdf

Date

2007

Author

Ergezer, Hamza

Metadata

Show full item record

Item Usage Stats

206
views

169
downloads

In this study, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Background subtraction has been performed to detect the moving objects in the video, which has been taken from a static camera. Four methods, frame differencing, running (moving) average, eigenbackground subtraction and mixture of Gaussians, have been used in the background subtraction process. After background subtraction, using some additional operations, such as morphological operations and connected component analysis, the objects to be tracked have been acquired. While tracking the moving objects, active contour models (snakes) has been used as one of the approaches. In addition to this method; Kalman tracker and mean-shift tracker are other approaches which have been utilized. A new approach has been proposed for the problem of tracking multiple targets. We have implemented this method for single and multiple camera configurations. Multiple cameras have been used to augment the measurements. Homography matrix has been calculated to find the correspondence between cameras. Then, measurements and tracks have been associated by the new tracking method.

Subject Keywords

Electrical Engineering., Electronics., Nuclear Engineering.

URI

http://etd.lib.metu.edu.tr/upload/2/12609098/index.pdf
https://hdl.handle.net/11511/17377

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Visual detection and tracking of moving objects Ergezer, Hamza; Leblebicioğlu, Mehmet Kemal (2007-06-13) In this paper, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Running average method has been used to detect the moving objects in the video, which is taken from a static camera. Tracking of foreground objects has been realized by using a Kalman filter. After background subtraction, morphological operators are used to remove noises detected as foreground. Active contour models (snakes) are the segmentation tools for the extracted fo...
Lifetime analysis for wireless sensor networks Öğünlü, Bilal; Bazlamaçcı, Cüneyt Fehmi; Department of Electrical and Electronics Engineering (2004) Sensor technologies are vital today in gathering information about certain environments and wireless sensor networks are getting more widespread use everyday. These networks are characterized by a number of sensor nodes deployed in the field for the observation of some phenomena. Due to the limited battery capacity in sensor nodes, energy efficiency is a major and challenging problem in such power-constrained networks. Some of the network design parameters have a direct impact on the network̕s lifetime. The...
FPGA implementation of graph cut method for real time stereo matching Sağlık Özsaraç, Havva; Ünver, Baki Zafer; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2010) The present graph cut methods cannot be used directly for real time stereo matching applications because of their recursive structure. Graph cut method is modified to change its recursive structure so that making it suitable for real time FPGA (Field Programmable Gate Array) implementation. The modified method is firstly tested by MATLAB on several data sets, and the results are compared with those of previous studies. Although the disparity results of the modified method are not better than other methods’,...
Modelling of X-Band electromagnetic wave propagation Pelgur, Ali; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2007) Calculation of electromagnetic wave propagation over irregular terrain is an important problem in many applications such as coverage calculations for radars or communication links. Many different approaches to this problem may be found in the literature. One of the most commonly used methods to solve electromagnetic boundary value problems is the Method of Moments (MoM). However, especially at high frequencies, the very large number of unknows required in the MoM formulation, limits the applicability of thi...
Dim target detection in infrared imagery Çifçi, Barış; Atalay, Aydın; Department of Electrical and Electronics Engineering (2006) This thesis examines the performance of some dim target detection algorithms in low-SNR imaging scenarios. In the past research, there have been numerous attempts for detection and tracking barely visible targets for military surveillance applications with infrared sensors. In this work, two of these algorithms are analyzed via extensive simulations. In one of these approaches, dynamic programming is exploited to coherently integrate the visible energy of dim targets over possible relative directions, where...

Citation Formats

H. Ergezer, “Visual detection and tracking of moving objects,” M.S. - Master of Science, Middle East Technical University, 2007.