Advanced

Reduced Search Space for Rapid Bicycle Detection

Ardö, Håkan LU ; Nilsson, Mikael LU ; Laureshyn, Aliaksei LU and Persson, Anna LU (2013) 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013) In [Host publication title missing]
Abstract
This paper describes a solution to the application of rapid detection of bicycles in low resolution video. In

particular, the application addressed is from video recorded in a live environment. The future aim from the

results in this paper is to investigate a full year of video data. Hence, processing speed is of great concern.

The proposed solution involves the use of an object detector and a search space reduction method based on

prior knowledge regarding the application at hand. The method using prior knowledge utilizes random sample

consensus, and additional statistical analysis on detection outputs, in order to define a reduced search space. It

is experimentally shown that, in the... (More)
This paper describes a solution to the application of rapid detection of bicycles in low resolution video. In

particular, the application addressed is from video recorded in a live environment. The future aim from the

results in this paper is to investigate a full year of video data. Hence, processing speed is of great concern.

The proposed solution involves the use of an object detector and a search space reduction method based on

prior knowledge regarding the application at hand. The method using prior knowledge utilizes random sample

consensus, and additional statistical analysis on detection outputs, in order to define a reduced search space. It

is experimentally shown that, in the application addressed, it is possible to reduce the full search space by 62%

with the proposed methodology. This approach, which employs a full detector in combination with the design

of a simple and fast model that can capture prior knowledge for a specific application, leads to a reduced search

space and thereby a significantly improved processing speed. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Bicycle Detection, Search Space, RANSAC, SMQT, split up SNoW
in
[Host publication title missing]
pages
6 pages
publisher
SciTePress
conference name
2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013)
external identifiers
  • Scopus:84877948121
DOI
10.5220/0004264804530458
language
English
LU publication?
yes
id
c39e94c9-151d-443b-933d-ce748871efd4 (old id 3294728)
date added to LUP
2013-05-16 15:59:18
date last changed
2017-01-01 08:01:30
@inproceedings{c39e94c9-151d-443b-933d-ce748871efd4,
  abstract     = {This paper describes a solution to the application of rapid detection of bicycles in low resolution video. In<br/><br>
particular, the application addressed is from video recorded in a live environment. The future aim from the<br/><br>
results in this paper is to investigate a full year of video data. Hence, processing speed is of great concern.<br/><br>
The proposed solution involves the use of an object detector and a search space reduction method based on<br/><br>
prior knowledge regarding the application at hand. The method using prior knowledge utilizes random sample<br/><br>
consensus, and additional statistical analysis on detection outputs, in order to define a reduced search space. It<br/><br>
is experimentally shown that, in the application addressed, it is possible to reduce the full search space by 62%<br/><br>
with the proposed methodology. This approach, which employs a full detector in combination with the design<br/><br>
of a simple and fast model that can capture prior knowledge for a specific application, leads to a reduced search<br/><br>
space and thereby a significantly improved processing speed.},
  author       = {Ardö, Håkan and Nilsson, Mikael and Laureshyn, Aliaksei and Persson, Anna},
  booktitle    = {[Host publication title missing]},
  keyword      = {Bicycle Detection,Search Space,RANSAC,SMQT,split up SNoW},
  language     = {eng},
  pages        = {6},
  publisher    = {SciTePress},
  title        = {Reduced Search Space for Rapid Bicycle Detection},
  url          = {http://dx.doi.org/10.5220/0004264804530458},
  year         = {2013},
}