Detection of passengers in a car

Tadej Jagodnik (2012) Detection of passengers in a car. EngD thesis.

Preview

Abstract

This thesis is focused on the research of the performance, suitability and reliability of some developed algorithms for face detection in the in-car environment. The vehicle interior is exposed to various illumination conditions which can complicate detection. Cramped space can also represent a problem, since it can cause occlusion. First we present three different approaches for face detection. To improve algorithm's performance and reduce the number of false detections, we suggest splitting frames or search window to two lines and five rectangles. We test algorithms on videos, recorded with wide-angle digital camera and annotate them by bounding boxes with implemented tool. System for evaluation is implemented to compare the algorithm's results with the results of ground truth annotation. Based on the evaluation system we perform various tests and with changing algorithm's parameters we try to determine their best performance.

Item Type:

Thesis (EngD thesis)

Keywords:

computer vision, face detection, in-car environment

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Peter Peer	294	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00009361236)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

1764

Date Deposited:

06 Jul 2012 09:23

Last Modified:

12 Sep 2012 10:21

URI:

http://eprints.fri.uni-lj.si/id/eprint/1764

Actions (login required)

View Item