Model-based vehicle detection and classification using orthographic approximations

Vehicle Detection and Tracking Techniques : A Concise Review

“…A model-based system for real-time traffic supervision continuous visual tracing and classification of vehicles for busy multi-lane highway scene have recommended by [54]. In this proposed work, the authors use the orthographic approximations for matching process.…”

Automatic Traffic Surveillance System for Vehicle Tracking and Classification

“…To achieve these goals, in past decade, there have been many approaches proposed for tackling related problems in ITS [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Among them, the vision-based approach has the advantages of easy maintenances and high flexibility in traffic monitoring and thus becomes one of the most popular techniques used in ITS for traffic controls.…”

“…In the past, there have been many researchers devoting themselves to investigating different solutions [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] for extracting important real-time traffic information via image processing. For example, Beymer et al [13] proposed a vehicle tracking algorithm to estimate traffic parameters based on corner features.…”

“…However, these approaches cannot further classify vehicles to more detailed types for providing more accurate information in traffic control. Therefore, Baker et al [4] proposed a 3D model matching scheme to classify vehicles into various types like wagons, sedan, hatchback, etc. In addition, Lipton et al [9] used maximum likelihood estimation criteria with shape features to classify different targets into vehicles and humans.…”

Highway Incident Detection and Classification Algorithms using Multi-Channel CCTV

“…기존에 연구된 방법들을 살펴보면, 빠른 검지 속도를 위해 영상의 프로젝션을 통한 1차원 차량 모델을 사용 한 기법이 있으며 [5] , 차량 윤곽선을 수평 수직으로 나누 어 확률적 특징으로 그룹화하는 기법이 있다 [6] . 안정적 인 다중 객체 검출을 위해 배경 이미지를 주기적으로 업데이트 하면서 현재 영상과의 차를 통해 객체를 추출 하고 각 프레임간 외곽선 정보로 칼만 필터(Kalman filter)를 이용해 추적하는 기법이 있다 [7] .…”