Reduced Search Space for Rapid Bicycle Detection
Författare
Summary, in English
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.
Avdelning/ar
- Matematik LTH
- Trafik och väg
- Mathematical Imaging Group
Publiceringsår
2013
Språk
Engelska
Publikation/Tidskrift/Serie
[Host publication title missing]
Dokumenttyp
Konferensbidrag
Förlag
SciTePress
Ämne
- Computer Vision and Robotics (Autonomous Systems)
- Mathematics
Nyckelord
- Bicycle Detection
- Search Space
- RANSAC
- SMQT
- split up SNoW
Conference name
2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013)
Conference date
2013-02-15 - 2013-02-18
Conference place
Barcelona, Spain
Status
Published
Forskningsgrupp
- Mathematical Imaging Group