원문정보
초록
영어
Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the various techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on vision-based vehicle detection using sensors. Detecting the objects in the video and tracking their motion to identify their characteristics has been emerging as a demanding research area in the domain of Image Processing and Computer Vision. The traffic image analysis comprises of three parts: (1) Traffic Analysis (2) Motion Vehicle Detection and Segmentation Approaches and (3) Vehicle Tracking Approaches. In this survey, we have classified these methods into various groups, and these groups are providing a detailed description of various representation methods and find out their positive and negative aspects.
목차
1. Introduction
2. Literature Survey
3. Traffic Analysis and Incident Detection
4. Motion Vehicle Detection and Segmentation Approaches
4.1 Background Subtraction Methods
4.2 Feature Based Methods
4.3 Frame Differencing and Motion Based Methods
5. Vehicle Tracking Approaches
5.1 Region-Based Tracking Methods
5.2 Contour Tracking Methods
5.3 3D Model-Based Tracking Methods
5.4 Feature-Based Tracking Methods
5.5 Color and Pattern-Based Tracking Methods
7. Conclusion and Future Work
References