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Vision-Based Blind Spot Monitoring [chapter]

Elena Cardarelli
2012 Handbook of Intelligent Vehicles  
Template matching is another possible tracking Optical flow estimation for features tracking approach: It is based on the localization of a specific region tracked using correlation evaluation.  ...  In the template matching, the correlation techniques could be region based or feature based according to the information to track.  ... 
doi:10.1007/978-0-85729-085-4_44 fatcat:oxtrlnixxrh2fju6dfewsaba3q

Combining model- and template-based vehicle tracking for autonomous convoy driving

Carsten Fries, Thorsten Luettel, Hans-Joachim Wuensche
2013 2013 IEEE Intelligent Vehicles Symposium (IV)  
We present a template-based solution using different features to estimate a 3D vehicle pose roughly but fast.  ...  A previously published model-based tracking method uses a particle filter which needs an initial vehicle hypothesis both at system start and in case of a tracking loss.  ...  The points from the Perspectiven-Point problem are the 3D-to-2D matching points from the edge template matching.  ... 
doi:10.1109/ivs.2013.6629600 dblp:conf/ivs/FriesLW13 fatcat:yqcw4hdffjfgrjwequlmllbgyu

A novel unmanned aerial surveillance scheme

Nevrez Imamoglu, Mehmet Onder Efe, Aydin Eresen, Okyay Kaynak
2014 2014 International Conference on Mechatronics and Control (ICMC)  
An aerial surveillance method is proposed for a predefined single object tracking. The algorithm takes advantage of template matching to be able to track the selected object in video sequences.  ...  The selected templates are chosen from the images by utilizing gradient operation on the Gabor Wavelet representations.  ...  This point is called the pivot point of the base template used to match the object on other frames among the possible templates.  ... 
doi:10.1109/icmc.2014.7231509 fatcat:55pfqrcap5b5hmnvuog5hv5rum

Particle Filter Vehicle Tracking Based on SURF Feature Matching

Xiaofeng Lu, Takashi Izumi, Lin Teng, Lei Wang
2014 IEEJ Journal of Industry Applications  
In this paper, we propose a robust vehicle tracking method based on speeded-up robust features (SURF) feature matching in a particle filter framework.  ...  Specifically, the proposed method of adopting new feature points for the target template can objectively reflect tracking target changes and effectively overcome the disadvantages of the random selection  ...  In this paper, we propose a robust vehicle tracking method based on speeded-up robust features (SURF) feature matching in a particle filter framework.  ... 
doi:10.1541/ieejjia.3.182 fatcat:ruxj57ta3jch3mjd7h6yx4opoy

Optimization and Tracking of Vehicle Stable Features Using Vision Sensor in Outdoor Scenario

Kajal Sharma
2016 International Journal of Modern Education and Computer Science  
In this paper, a novel method is proposed to obtain the features in the moving vehicles in outdoor scenes and the proposed method can track the moving vehicles with improved matched features which are  ...  Detection and tracking of stable features in moving real time video sequences is one of the challenging task in vision science.  ...  Each vehicle object feature consists of 4 × 4 array of Algorithm Observation Global template based tracking [3] [4] track the objects with templates and features, based on manually-defined models Feature  ... 
doi:10.5815/ijmecs.2016.08.05 fatcat:hntjfxwoqrbornthcl6qici3am


J. Zhang, W. Xiao, B. Coifman, J. P. Mills
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Based on these transformations, vehicle speeds are determined directly based on (a) the locations of the chosen tracking point in the first strategy; (b) a vehicle model is built and tracking point locations  ...  This research therefore proposes and develops an image-based vehicle-tracking framework from roadside lidar data to track the precise location and speed of a vehicle.  ...  Low-level features based on an individual point or a small group of points, such as dimensionality, are used in of the majority of studies (Demantké et al., 2011) .  ... 
doi:10.5194/isprs-archives-xlii-2-w13-1177-2019 fatcat:66n45476ojgdxbskyymmqlab5a

Reliable Road Scene Interpretation Based on ITOM with the Integrated Fusion of Vehicle and Lane Tracker in Dense Traffic Situation

Jinhan Jeong, Yook Hyun Yoon, Jahng Hyon Park
2020 Sensors  
We have introduced an image template occupancy matching method with the integrated vehicle tracker that makes it possible to avoid extracting irrelevant lane features caused by forward target vehicles  ...  Lane detection and tracking in a complex road environment is one of the most important research areas in highly automated driving systems.  ...  These templates consist of base templates and vehicle templates based on each lane geometry.  ... 
doi:10.3390/s20092457 pmid:32357432 pmcid:PMC7250027 fatcat:somghywqcfgplke7g4ngwiqwtu

A Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems

Rakesh Chandra Joshi, Adithya Gaurav Singh, Mayank Joshi, Sanjay Mathur
2019 International Journal of Interactive Multimedia and Artificial Intelligence  
The template matching algorithm used in our study is based on the sum of absolute differences to find the best match given by (1). (1) where � = Input frame, and � = Template and �, = coordinate of pixel  ...  In [31] , a tracking method is proposed based on the object matching in every frame.  ... 
doi:10.9781/ijimai.2019.01.001 fatcat:wbk2khl3tfat7fqbiqqsh7xaim

Feature Detection and Tracking in Support of GIS [chapter]

Jinwei Jiang
2015 Encyclopedia of GIS  
A match is found on a pixel-bypixel basis. Template matching is used in various applications, such as face recognition, feature tracking, and medical image processing.  ...  Correspondence-Based Tracking Template Matching Template matching is a technique for finding a rectangular region in an image that matches a template image, as shown in Fig. 2 .  ... 
doi:10.1007/978-3-319-23519-6_1618-1 fatcat:2eoqiusgffbn7hx3pihytog5oi

Runtime ML-DL Hybrid Inference Platform Based on Multiplexing Adaptive Space-Time Resolution for Fast Car Incident Prevention in Low-Power Embedded Systems

Sunghoon Hong, Daejin Park
2022 Sensors  
To detect a vehicle in consecutive images consistently, a Kalman filter is used to predict the bounding box based on the tracking algorithm and correct it based on the detection algorithm.  ...  Artificial intelligence (AI) techniques are used to more accurately detect vehicles, but AI-based vehicle detection takes a lot of processing time due to its high computational complexity.  ...  We use a template-matching technique based on a template size of 20 × 20 for vehicle tracking.  ... 
doi:10.3390/s22082998 pmid:35458983 pmcid:PMC9024881 fatcat:zvvcngbxxnhfhjnkgz5cvj4n5u

Object tracking in an outdoor environment using fusion of features and cameras

Quming Zhou, J.K. Aggarwal
2006 Image and Vision Computing  
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras.  ...  The tracked objects are successfully classified into three categories: single person, people group, or vehicle. q  ...  Kaneko and Hori [7] proposed a feature selection method based on the upper bound of the average template matching error.  ... 
doi:10.1016/j.imavis.2005.06.008 fatcat:hpqxeh2kurawxeevfkbc7j2ma4

View independent recognition of human-vehicle interactions using 3-D models

Jong T. Lee, M. S. Ryoo, J. K. Aggarwal
2009 2009 Workshop on Motion and Video Computing (WMVC)  
The shape based matching of synthetic 3-D vehicle models is used for accurate localization of vehicles and for the specification of regions-ofinterest (e.g. doors).  ...  In the proposed method, the system transforms the optical flow field based on the position of doors and the direction of a vehicle. This enables the system to extract view-independent features.  ...  Acknowledgments This material is based upon work supported partly by Texas Higher Education Coordinating Board award Table. 1. All clips are cropped from input frames by the specified ROIs.  ... 
doi:10.1109/wmvc.2009.5399234 fatcat:hhnquyn6e5ddnpenrfx5i5pkqa

An integrated system for vehicle tracking and classification

Sebastiano Battiato, Giovanni Maria Farinella, Antonino Furnari, Giovanni Puglisi, Anique Snijders, Jelmer Spiekstra
2015 Expert systems with applications  
The main purpose of the system is the tracking of the vehicles to understand lane changes, gates transits and other behaviors useful for traffic analysis.  ...  We present a unified system for vehicle tracking and classification which has been developed with a data-driven approach on real-world data.  ...  Fig. 14 . 14 The results of the proposed technique (PS) vs a standard template matching pipeline (TM), the TLD algorithm (TLD) and a tracker based on the Lucas-Kanade optical flow on multiple feature points  ... 
doi:10.1016/j.eswa.2015.05.055 fatcat:zy4rtxuahbbbjhxgcm2rph26ky

Adaptive Fuzzy Weighted Template Matching Using Invariant Features for a Tracking Application

Nevrez İmamoglu, Aydιn Eresen, Mehmet Önder Efe
2010 IFAC Proceedings Volumes  
Proposed method provides center point of the best matching template which represents the target object to be tracked.  ...  In this paper, proposed algorithm tracks a target object on consecutive frames taken from a camera embedded on an unmanned aerial vehicle.  ...  First algorithm is based on matching the pseudo-Zernike features by finding minimum SSD among possible templates around search point.  ... 
doi:10.3182/20100826-3-tr-4015.00049 fatcat:qnyvoawqtzf7rbmrsbhrkhcx44

Vehicle matching in smart camera networks using image projection profiles at multiple instances

Vedran Jelača, Aleksandra Pižurica, Jorge Oswaldo Niño-Castañeda, Andrés Frías-Velázquez, Wilfried Philips
2013 Image and Vision Computing  
One of the main challenges is accurate vehicle matching across the cameras.  ...  Tracking vehicles using a network of cameras with non-overlapping views is a challenging problem of great importance in traffic surveillance.  ...  The accuracy of methods based on local features depends on the number of corresponding key points found in images and on the dimension of the local descriptors calculated for each key point.  ... 
doi:10.1016/j.imavis.2013.06.007 fatcat:grdaw2626jaspc6fczkdbj4cei
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