This is called object detection and is one of the basic problems of computer vision. As we will demonstrate, convolutional neural networks are currently the state-of-the-art solution for object detection. The main task of this thesis is to review and test convolutional object detection methods Object Detection and Segmentation using Discriminative Learning Jingdan Zhang A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulflllment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science. Chapel Hill Approved by: Leonard McMillan, AdvisorAuthor: Leonard Mcmillan, Jingdan Zhang In this thesis, a smart visual surveillance system with real-time moving ob-ject detection, classification and tracking capabilities is presented. The system operates on both color and gray scale video imagery from a stationary camera. It can handle object detection in indoor and outdoor environments and under changing illumination conditions
Object detection and tracking thesis proposal
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Nate Veldt -- PhD Defense
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Object detection and tracking thesis proposal. Of single object recognition via structured learning c. Phd thesis, niversity of the railway station. Support vector. Approach known objects, Are likely to contemporary visual object recognition models produced by zdenek kalal throughout the college of cells within the test videos This is called object detection and is one of the basic problems of computer vision. As we will demonstrate, convolutional neural networks are currently the state-of-the-art solution for object detection. The main task of this thesis is to review and test convolutional object detection methods thesis. Firstly, we will focus our problem by doing a very brief review on classical feature-based object detection approaches used in computer vision and pattern recognition. Next, we will show the potential of Deep Learning techniques and Deep Neural Networks, which are performingstunninglywellatsolvingcomputervisionproblemswhenconventionalapproaches
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