University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Meeting in the Middle: A top-down and bottom-up approach to detect pedestrians

Shaukat, A, Gilbert, A, Windridge, D and Bowden, R (2012) Meeting in the Middle: A top-down and bottom-up approach to detect pedestrians In: 21st International Conference on Pattern Recognition, 2012-11-11 - 2012-11-15, Tsukuba, Japan.

Available under License : See the attached licence file.

Download (848kB)
Text (licence)

Download (33kB)


This paper proposes a generic approach combining a bottom-up (low-level) visual detector with a top-down (high-level) fuzzy first-order logic (FOL) reasoning framework in order to detect pedestrians from a moving vehicle. Detections from the low-level visual corner based detector are fed into the logical reasoning framework as logical facts. A set of FOL clauses utilising fuzzy predicates with piecewise linear continuous membership functions associates a fuzzy confidence (a degree-of-truth) to each detector input. Detections associated with lower confidence functions are deemed as false positives and blanked out, thus adding top-down constraints based on global logical consistency of detections. We employ a state of the art visual detector on a challenging pedestrian detection dataset, and demonstrate an increase in detection performance when used in a framework that combines bottom-up detections with (fuzzy FOL-based) top-down constraints. © 2012 ICPR Org Committee.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Shaukat, A
Gilbert, A
Windridge, D
Bowden, R
Date : 2012
Contributors :
Additional Information : The original publication is available at
Depositing User : Symplectic Elements
Date Deposited : 20 Sep 2013 13:07
Last Modified : 31 Oct 2017 15:11

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800