Honors Theses

Date of Award

Spring 5-9-2020

Document Type

Undergraduate Thesis

Department

Computer and Information Science

First Advisor

Yixin Chen

Second Advisor

Byunghyun Jang

Third Advisor

Charles Fleming

Relational Format

Dissertation/Thesis

Abstract

A traffic surveillance camera system is an important part of an intelligent transportation system.(Zhang et al., 2013) This system is capable of performing useful object detections on the incoming feed. These detected objects can then be used for tracking purposes which forms the basis for monitoring important traffic data such as collisions, vehicle count, pedestrian count and so on. Furthermore, other additional information such as the weather conditions, time of day as well as date can also be extracted from a live feed. (Sun et al., 2004) Different algorithms can yield different results for any given video input. Not only that, various parameters such as the resolution, frames per second(fps) count, lighting conditions in the video input also affect performance. Therefore, it is imperative to compare between the various image processing and deep learning algorithms and evaluate their performance before deploying them in real time.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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