NUST Institutions Library Catalogue catalog › Details for: Object Tracking Using Appearance Model Based on Feature Extracted from Multi-Scale Image Feature Space with Data-Independent Basis /

Normal view MARC view ISBD view

Object Tracking Using Appearance Model Based on Feature Extracted from Multi-Scale Image Feature Space with Data-Independent Basis / Muhammad Bilal Mahmood.

TextPublisher: Islamabad ; CEME - NUST, 2015Description: xiii, 50 p. : ill. ; 30cmSubject(s): Computer Engineering-MS-ThesisDDC classification: 621.39

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	621.39 (Browse shelf)	Available		CL-T-707

Total holds: 0

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	621.39 Motion Classification based on Motion Vector Statistics by	621.39 Orientation In-Variance Object Recognition using Geometric Moments and Color Histograms /	621.39 WCDMA based Receiver Design and Implementation on FPGA for Software Defined Radio /	621.39 Object Tracking Using Appearance Model Based on Feature Extracted from Multi-Scale Image Feature Space with Data-Independent Basis /	621.39 Lossless Image Compression by Incorporating Histogram Processing Stage in Burrows wheeler Compression Algorithm (BWCA) /	621.39 Automated Segmentation of Retinal Layers for the Detection of Diabetic Macular Edema using OCT Images /	621.39 Classification of standard Datasets with Deep Convolutional Neural Networks using DIGITS /	Next

There are no comments on this title.

to post a comment.