Detection of vehicles and pedestrians
- Authors
- Shin, Hyunchul; Riaz, Irfan
- Issue Date
- Dec-2013
- Publisher
- Springer Netherlands
- Citation
- Algorithm and Soc Design for Automotive Vision Systems: For Smart Safe Driving System, pp 107 - 142
- Pages
- 36
- Indexed
- SCOPUS
- Journal Title
- Algorithm and Soc Design for Automotive Vision Systems: For Smart Safe Driving System
- Start Page
- 107
- End Page
- 142
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/25836
- DOI
- 10.1007/978-94-017-9075-8_5
- Abstract
- Vehicle and pedestrian detection has gained the attention of researchers in the past decade because of the increasing number of on road vehicles and traffic accidents. Vehicle and pedestrian detection system is of utmost importance since it can be used to take instantaneous and calculated decisions where human failure might occur resulting in reduction of road mishaps. But designing a detection system which is robust to various shapes of vehicles, different human postures/clothing, and weather/environment conditions is a challenging problem. In the following sections, the state of the art methods in vehicle and pedestrian detection are discussed. © Springer Science+Business Media Dordrecht 2014.
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