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Contextual Combination of Appearance and Motion for Intersection Videos with Vehicles and Pedestrians [chapter]

Mohammad Shokrolah Shirazi, Brendan Morris
2014 Lecture Notes in Computer Science  
Object detection and classification is challenging problem for vision-based intersection monitoring since traditional motion-based techniques work poorly when pedestrians or vehicles stop due to traffic  ...  In this work, we present a method for vehicle and pedestrian recognition at intersections that benefits from both motion and appearance cues in video surveillance.  ...  Motion-based techniques work well for detecting vehicles but Haar-like appearance features surprisingly are inefficient.  ... 
doi:10.1007/978-3-319-14249-4_68 fatcat:6swrhmwquvf65dohylznbngk7e

Vision-based Vehicle Detection Survey

Alex David S, K. Antony Kumar, S. Ravi Kumar
2016 International Journal of Recent Contributions from Engineering, Science & IT  
Previous works on the vehicle detection listed based on camera poisons, feature based detection and motion based detection works and night time detection.  ...  - based approaches and nighttime vehicle detection and monocular pose estimation.  ...  Others Feature based Detection 4) In [23] , HOG features and Haar-like features were analyzed and they are combined to detect vehicle.  ... 
doi:10.3991/ijes.v4i1.5590 fatcat:smijyealynb6ffqiybuuxftmvq

A Survey on Vehicle Detection based on Vision

Surender Dhanaekaran, Karthi Ramachandran, Selvamuthukumar M, Nithya Velam, Soma Pal
2015 Modern Applied Science  
Following topics discussed below, camera placement and the various applications of monocular vehicle detection, common features and common classification methods, motion- based approaches and nighttime  ...  vehicle detection and monocular pose estimation.  ...  Others Feature based Detection In [23] , HOG features and Haar-like features were analyzed and they are combined to detect vehicle.  ... 
doi:10.5539/mas.v9n12p118 fatcat:2wasqlhgaje7ra2w6fdah6m3oy

A review of recent developments in vision-based vehicle detection

Sayanan Sivaraman, Mohan M. Trivedi
2013 2013 IEEE Intelligent Vehicles Symposium (IV)  
This document provides a review of the past decade's literature in on-road vision-based vehicle detection.  ...  We detail advances in vehicle detection, discussing representative works from the monocular and stereo-vision domains.  ...  The authors acknowledge support from the UC Discovery Program and associated industry partners.  ... 
doi:10.1109/ivs.2013.6629487 dblp:conf/ivs/SivaramanT13 fatcat:z2ygschnajaovcf65g5kur4mq4

Traffic Event Detection using Computer Vision

Ramesh Navi, Aruna M. G
2014 IOSR Journal of Computer Engineering  
Haar-like features is one of the best techniques that can be used for detecting the objects within images/video feed from the traffic cameras.  ...  This process includes the subtasks of data collection, negative positive separation, creating training samples, creating description files, haar training and a strong action program which can detect vehicles  ...  Existing System Below list gives some of the existing systems in the area of traffic monitoring. 1.Motion and haar-like features based vehicle detection[1] Lienhart et al. have added basic and rotated  ... 
doi:10.9790/0661-16322532 fatcat:naerg3etjjhv3nu7gguaa2r3ry

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

Bui Ngoc Dung, Manh Dzung Lai, Tran Vu Hieu, Nguyen Binh T. H.
2019 The Transport and Communications Science Journal  
Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented.  ...  Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given.  ...  ACKNOWLEDGMENT This research was supported by a grant from UTC project number T2019-CN-013 TD and T2019-CN-005.  ... 
doi:10.25073/tcsj.70.3.29 fatcat:hfwqcwxoirglfgaldgbgum7nve

Moving Vehicle Detection Using AdaBoost and Haar-Like Feature in Surveillance Videos [article]

Mohammad Mahdi Moghimi, Maryam Nayeri, Majid Pourahmadi, Mohammad Kazem Moghimi
2018 arXiv   pre-print
In this technology, vehicles are detected in presence of other things like trees and buildings.  ...  Vehicle detection is a technology which its aim is to locate and show the vehicle size in digital images.  ...  Haar-Like Feature Haar-Like is a rectangular simple feature that is used as an input feature for cascaded classifier. In Fig. 1 , there are some filters based on Haar-Like feature.  ... 
arXiv:1801.01698v1 fatcat:ll6wdoz7jfd3phc7z34pbjqfja

Real Time On-Road Vehicle Detection with Low-Level Visual Features and Boosted Cascade of Haar-Like Features
미약한 시각 특징과 Haar 유사 특징들의 강화 연결에 의한 도로 상의 실 시간 차량 검출

Shyam Prasad Adhikari, Hyeon-Joong Yoo, Hyong-Suk Kim
2011 Journal of Institute of Control Robotics and Systems  
This paper presents a real-time detection of on-road succeeding vehicles based on low level edge features and a boosted cascade of Haar-like features.  ...  Then a boosted cascade of the Haar-like features is applied to the initial hypothesized vehicle location to extract the refined vehicle location.  ...  A motion and Haar-like feature detector to detect vehicle is proposed in [6] .  ... 
doi:10.5302/j.icros.2011.17.1.17 fatcat:sahecwf5mndejp7bmbreqrfft4

A New Hybrid Proposed Algorithm for Multiple Vehicle Detection and Tracking in a Day-Time Environment

2019 International journal of recent technology and engineering  
To address this issue, a new hybrid model of two-tier classifier of Haar+HOG, SVM+AdaBoost classifier algorithm based on a feature extraction algorithm is proposed in this paper.  ...  In addition, compared with the existing automatic feature extraction and region based object detection methods, our new hybrid method improves the overall detection rate by an average of approximately  ...  VeDAS is a multipart-based vehicle detection algorithm that employs Haar-like features and Adaboost classifiers for the detection of fully and partially visible rear views of vehicles.  ... 
doi:10.35940/ijrte.b1526.078219 fatcat:2yjn7lmzgndktmbukqgt66x24e

Image-Based Vehicle Detection using Various Features

Saikat Goswami, Mohammad Shorif Uddin, Mahia Rezwana Oishi, Shaiedul Islam Shehab, Nazmus Shakib
2022 Zenodo  
Here, apply two methods for detect the vehicle. Such as Lens-based vehicle Classifier and Haar cascade classifier.  ...  Lens-based Vehicle Classifier and Haar cascade classifier used for utilize the object detect of the vehicle. And all the procedure is held with camera and sensor to detect the vehicles.  ...  Haar-like features.  ... 
doi:10.5281/zenodo.6044965 fatcat:yd2s3tkoxzcydjl5wwkh2kttb4

Context-based object-of-interest detection for a generic traffic surveillance analysis system

Xinfeng Bao, Solmaz Javanbakhti, Svitlana Zinger, Rob Wijnhoven, Peter H. N. de With
2014 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
The results of the obtained vehicle detection outperform a recent object detection algorithm, in both precision (92.7%) and recall (92.0%).  ...  In the SHG stage, a semantic region labeling engine and an appearance-based detector jointly generate the visual regions with specific features or of specific interests.  ...  Figure 3 . 3 Haar-like features used in our appearance-based detector.  ... 
doi:10.1109/avss.2014.6918657 dblp:conf/avss/BaoJZWW14 fatcat:mbgfgh54n5ep5kjxe6ksqvfl5u

Image-Based Vehicle Detection using Various Features

Saikat Goswami, Mohammad Shorif Uddin, Mahia Rezwana Oishi, Shaiedul Islam Shehab, Nazmus Shakib
2022 Zenodo  
Here, apply two methods for detect the vehicle. Such as Lens-based vehicle Classifier and Haar cascade classifier.  ...  Lens-based Vehicle Classifier and Haar cascade classifier used for utilize the object detect of the vehicle. And all the procedure is held with camera and sensor to detect the vehicles.  ...  Haar-like features.  ... 
doi:10.5281/zenodo.6378186 fatcat:n3trldkea5dtlfkcgzxsm2kf7u

Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis

Sayanan Sivaraman, Mohan Manubhai Trivedi
2013 IEEE transactions on intelligent transportation systems (Print)  
This paper provides a review of the literature in on-road vision-based vehicle detection, tracking, and behavior understanding.  ...  We detail advances in vehicle detection, discussing monocular, stereo vision, and active sensor-vision fusion for on-road vehicle detection.  ...  ACKNOWLEDGMENT The authors would like to thank the reviewers for their comments and suggestions and Dr. B. Morris and A. Mogelmose, their colleagues, for their valuable assistance and interactions.  ... 
doi:10.1109/tits.2013.2266661 fatcat:mnrg7yy3tbcqfcow35nzwz4nai

Survey on Various Techniques for Over-Speed Detection of Vehicles

Kratika Sharma
2021 International Journal for Research in Applied Science and Engineering Technology  
The vehicle motion is detected and tracked along the frames using dlib library. It is based on the correlation of pixels in bounding boxes containing detected objects in consecutive frames.  ...  In this paper, we detect the vehicles and track them in traffic videos and estimate their speed. We follow 'detect then track' approach.  ...  To detect the rear shape of the car we choose to use Haar-like feature detector because it is fast and efficient. In general, template-based methods are slow for real time detections.  ... 
doi:10.22214/ijraset.2021.34578 fatcat:ob53brpqijgh5cidlpwcahvrma

Smart and Safe Vehicle Monitoring with Fuzzy Integral and Haar-like Features

Se-bin Oh, Yeon Ho Chung
2013 International Journal of Computers Communications & Control  
The Haar-like feature is used to detect any sign of drowsiness and the Alert function is performed to alert the driver.  ...  The proposed smart and safe vehicle monitoring system offers advanced safety features and is expected to substantially reduce fatigue related accidents.  ...  An eye tracing algorithm known as Haar-like feature Smart and Safe Vehicle Monitoring with Fuzzy Integral and Haar-like Features 591 Figure 5 : Method of finding the angle of shock [5] has been used  ... 
doi:10.15837/ijccc.2013.4.69 fatcat:rejs5oihfjggvkr7tv2apq2swm
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