Literature Review: Human Segmentation with Static Camera

TL;DR

This literature review explores the interconnected fields of human segmentation with static cameras, focusing on object detection, instance identification, and segmentation, and their mutual influence on each other's development.

Contribution

It provides a comprehensive overview of the current state and challenges in human segmentation, highlighting the interactions among detection, identification, and segmentation tasks.

Findings

Identifies key challenges in static camera human segmentation

Analyzes the interdependence of detection, identification, and segmentation

Summarizes recent advancements and issues in the field

Abstract

Our research topic is Human segmentation with static camera. This topic can be divided into three sub-tasks, which are object detection, instance identification and segmentation. These sub-tasks are three closely related subjects. The development of each subject has great impact on the other two fields. In this literature review, we will first introduce the background of human segmentation and then talk about issues related to the above three fields as well as how they interact with each other.