Multiclass Vehicle Type Recognition System using an Oriented Points Set based Model
نویسندگان
چکیده
This paper presents a framework for multi-class vehicle type identification based on oriented contour points. The decision process combines four classifiers: three voting algorithms and a distance error. This method have been tested on a realistic data set obtaining similar results for equivalent recognition frameworks with different features selections [11]. A confidence criterion is also calculated to validate the system results. The system also show to be robust to partial occlusions. Keywords—Pattern Recognition, Multiclass Classification, Oriented Contour Poins, Voting Algorithm.
منابع مشابه
Multi-class Vehicle Type Recognition System
This paper presents a framework for multiclass vehicle type (Make and Model) identification based on oriented contour points. A method to construct a model from several frontal vehicle images is presented. Employing this model, three voting algorithms and a distance error allows to measure the similarity between an input instance and the data bases classes. These scores could be combined to des...
متن کاملScheduling of Residential Multiclass Appliances in Smart Homes UsingV2H Capability of Electric Vehicle
With the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. Smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. As a key component of smart home , Electric Vehicle(EV) ,increase...
متن کاملAnalysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model
Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...
متن کاملIdentifying Useful Variables for Vehicle Braking Using the Adjoint Matrix Approach to the Mahalanobis-Taguchi System
The Mahalanobis Taguchi System (MTS) is a diagnosis and forecasting method for multivariate data. Mahalanobis distance (MD) is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. MTS is of interest because of its reported accuracy in forecasting small, correlated data sets. This is the type o...
متن کاملتشخیص نوع خودرو با استفاده از مدل 3-بعدی
In vehicle surveillance systems, one of the appropriate methods for recognition are 3-D models. Several methods have been proposed for this purpose. Feature based methods are most significant and widely used. In this paper, is proposed an algorithm within recognition framework. Proposed algorithm is considered information of image and model edges as feature. A block descriptor has been used ext...
متن کامل