Car-Detection | project focus on the detection and recognition of cars | Computer Vision library

Car-Detection is a C++ library typically used in Artificial Intelligence, Computer Vision, Tensorflow applications. Car-Detection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project focus on the detection and recognition of cars in different perspective views and has the following associated paper and presentation:. Pose invariant object detection and classification plays a crit-ical role in robust image recognition systems and can be applied in amultitude of applications, ranging from simple monitoring to advancedtracking. This paper analyzes the usage of the Bag of Words model forrecognizing objects in different scales, orientations and perspective viewswithin cluttered environments. The recognition system relies on imageanalysis techniques, such as feature detection, description and clusteringalong with machine learning classifiers. For pinpointing the location ofthe target object, it is proposed a multiscale sliding window approach fol-lowed by a dynamic thresholding segmentation. The recognition systemwas tested with several configurations of feature detectors, descriptorsand classifiers and achieved an accuracy of 87% when recognizing carsfrom an annotated dataset with 177 training images and 177 testingimages.