This paper presents a real-time taxi detection algorithm for embedded system. The detection is achieved by setting detection areas, license plate detection, vehicle roof detection, vehicle roof feature extraction and vehicle roof classification. In other words, a frame is extracted from the video and transformed into a rectangle image. After that, the system locates the license plate and followed by the vehicle roof. Then the features of the vehicle roof and the vehicle color are extracted. Finally, the features are input into a regression function, which is obtained from previous training data, to determine whether the vehicle is a taxi. These features are easy to extract so that the whole process is simple and robust. Due to the small cost of time, this method is suitable for embedded system.
Real-time taxi detection for embedded system
2014-10-01
320130 byte
Conference paper
Electronic Resource
English
Real-Time Distributed Taxi Ride Sharing
IEEE | 2018
|Online GPS data based abnormal taxi track real-time detection method
European Patent Office | 2015
|Real-time Unimpeded Taxi Out Machine Learning Service
NTRS | 2021
|