博士申请——Research Proposal

最新推荐文章于 2024-08-20 22:13:06 发布

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最新推荐文章于 2024-08-20 22:13:06 发布 · 5.4k 阅读

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本文探讨了视觉目标跟踪的基本概念、挑战及应用，对比了单目标跟踪与多目标跟踪的特点，介绍了生成式与判别式模型的工作原理，并回顾了相关工作，包括跟踪-检测方法、粒子滤波、相关滤波器及深度学习在目标跟踪中的应用。

之前在申请境外博士的时候，写过一篇RP（研究计划书）。由于不是硕士的研究方向，所以写的比较浅显。在这里贴出来，供大家参阅，对于某些童鞋，或许会有所帮助。

Why do I want the Ph.D

About Myself

Background

My current research direction is multimodal language generation. The research goal is to integrate the multimodal information acquired by the robot into a perfect sentence. At present I have designed a basic framework by referring the methods of image caption and machine translation to carry on my research. I plan to pursue graduate studies towards a Ph.D. degree at your school of computer science from the fall of 20XX. In the future, I am determined to devote myself to the research on object tracking.

Research Motivation

Object tracking is a process to locate an interested object in a series of images, so as to reconstruct the moving object’s track. Given a bounding box defining the object of interest in a single frame, the goal of tracking is to automatically determine the object’s bounding box or indicate that the object is not visible in every frame that follows.

As a mid-level task in computer vision, object tracking grounds high-level tasks such as pose estimation, action recognition, and behavior analysis. It has numerous practical applications, such as visual surveillance, human computer interaction and virtual reality. Although object tracking has been studied for several decades, it still remains challenging due to factors like abrupt appearance changes and severe object occlusions. Apart from those practical requirements that appeal to me deeply, I am curious about dealing with all these issues.

Object Tracking

Introduction

There are two main forms of object tracking, namely, single-object-trackin