"Moving Object Tracking of Vehicle Detection": A Concise Review

@article{Shukla2015MovingOT,
  title={"Moving Object Tracking of Vehicle Detection": A Concise Review},
  author={A. Shukla and Mona Saini},
  journal={International Journal of Signal Processing, Image Processing and Pattern Recognition},
  year={2015},
  volume={8},
  pages={169-176}
}
  • A. Shukla, Mona Saini
  • Published 2015
  • Engineering
  • International Journal of Signal Processing, Image Processing and Pattern Recognition
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 visionbased vehicle detection using sensors. Detecting the objects in the video and tracking their motion to… Expand

Figures from this paper

Morphology based moving vehicle detection
TLDR
Morphological techniques for video vehicle detection which are based on Morphological approach are introduced which perform following steps: fragmentation of frames • Morphological operation on frames • Vehicle counting. Expand
Real-time vehicle detection and tracking
TLDR
This paper presents an efficient method for detection and tracking of vehicles which focuses on the trajectory of motion of the objects and selectively rejects the objects which cannot be vehicles at the same time consolidate the candidate vehicles. Expand
Multiple Car Detection, Recognition and Tracking in Traffic
TLDR
A brief about multiple car detection, recognition and tracking of approaches is provided and number of methods like video is converted into frames in segmentation then followed by preprocessing andtracking of multiple cars are proposed. Expand
Comparative Analysis of Tracking Objects Using Optical Flow and Background Estimation on Silent Camera
TLDR
Object tracking utilization as a computer vision in this study is used to identify objects which exist within a frame and calculate the number of objects passing within aframe. Expand
A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques
TLDR
VANETs are introduced for VC and their capabilities, which can be used for VC purposes, are presented from the available literature and a comparison is conducted that shows that VANets outperform the conventional techniques. Expand
Real-time detection of moving objects in a video sequence by using data fusion algorithm
TLDR
A novel data fusion approach to attack the moving object detection and tracking problem, which combines an entropy-based Canny operator with the local and global optical flow method, namely EC-LGOF, is proposed. Expand
A moving vehicle tracking algorithm based on deep learning
TLDR
A traditional GMM algorithm is improved, a sparse DAE neural network feature learning framework is proposed to ensure efficient extraction of vehicle features and reduce feature redundancy, and the vehicle is tracked in its area. Expand
A HYBRID FUZZY MORPHOLOGY AND CONNECTED COMPONENTS LABELING METHODS FOR VEHICLE DETECTION AND COUNTING SYSTEM
TLDR
A hybrid fuzzy morphology and connected components labeling method is proposed for detecting and counting the number of vehicles in an image taken from a traffic monitoring camera to achieve faster computation time compared to the supervised learning. Expand
Random bounce algorithm: real-time image processing for the detection of bats and birds
TLDR
The random bounce algorithm (RBA) is proposed as a novel real-time image processing method for vision-based detection of bats and birds and is combined with object tracking in order to extract flight trajectories. Expand
Unmanned Aerial Aircraft Systems for Transportation Engineering: Current Practice and Future Challenges
Abstract Acquiring and processing video streams from static cameras has been proposed as one of the most efficient tools for visualizing and gathering traffic information. With the latest advances inExpand
...
1
2
...

References

SHOWING 1-10 OF 55 REFERENCES
Vehicle Detection and Tracking from Video frame Sequence
Video and image processing has been used for traffic surveillance, analysis and monitoring of traffic conditions in many cities and urban areas. Motion tracking is one of the most active researchExpand
Lane-Vehicle Detection and Tracking
paper presents a monocular lane-vehicle detection and tracking system comprising of (i) lane boundary detection, (ii) lane region tracking, and (iii) vehicle detection with a proposed verticalExpand
Moving vehicles detection based on adaptive motion histogram
TLDR
Based on the distinct motion property of the dynamic background and that of the moving vehicles, an adaptive motion histogram for moving vehicles segmentation is presented, which provides much improved results. Expand
Vehicle Detection and Tracking
TLDR
Experimental results show that the vehicle detector can improve both the detection rate and the robustness in real time and a supervised learning approach is proposed to improve the performance. Expand
Towards robust automatic traffic scene analysis in real-time
  • D. Koller, J. Weber, +4 authors B. Rao
  • Computer Science
  • Proceedings of 12th International Conference on Pattern Recognition
  • 1994
TLDR
Improvements in technologies for machine vision-based surveillance and high-level symbolic reasoning have enabled the authors to develop a system for detailed, reliable traffic scene analysis and preliminary results show that near real-time performance can be achieved without further improvements. Expand
Towards robust automatic traffic scene analysis in real-time
Traffic scene information can be used to optimize traffic flow during busy periods, identify stalled vehicles and accidents, and aid the decision-making of an autonomous vehicle controller.Expand
Video-based Vehicle Detection and Classification in Heterogeneous Traffic Conditions using a Novel Kernel Classifier
TLDR
A combination of interest point detectors and low-level shape detectors as features was found to produce accurate and consistent results in the detection and classification of different categories of vehicles in a heterogeneous traffic video. Expand
Vehicle Tracking Using Image Processing Techniques
A real time vehicle tracking in image sequences is presented. The moving vehicles are segmented by the method of differential image followed by the process of morphological dilation. The vehicles areExpand
Vehicle Detection by Independent Parts for Urban Driver Assistance
  • S. Sivaraman, M. Trivedi
  • Engineering, Computer Science
  • IEEE Transactions on Intelligent Transportation Systems
  • 2013
TLDR
This paper uses active learning to train independent-part detectors and a semisupervised approach is used for training part-matching classification, which forms sideview vehicles from independently detected parts. Expand
Automation of traffic flow measurement using video images
TLDR
This research focuses on the design and implementation of a system for automating the task of measuring vehicular traffic flow on a motorway, using video image sequences, and the system has been designed to handle inconsistencies caused by occlusion of vehicles. Expand
...
1
2
3
4
5
...