A real-time system for object detection and location reminding with RGB-D camera

Autor:	Liang-Gee Chen, Chung-Yu Chi, Szu-Lu Hsu, I-Kuei Chen
Rok vydání:	2014
Předmět:	Object-class detection Computer science business.industry RGB color model Viola–Jones object detection framework Computer vision Artificial intelligence business Object (computer science) Real-time operating system Wearable technology Object detection
Zdroj:	ICCE
DOI:	10.1109/icce.2014.6776063
Popis:	This paper presents a helpful application with a real-time detection system that can automatically capture the last scene where the user-defined important objects appear. The introduced method uses RGB-D information as input and has high detection rate in messy indoor environments. Additionally, we build an user-friendly using flow on object online learning and detection which may be suitable for future technologies of wearable devices.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::aa0c7ca49ca487b4b527984dc757cbfd https://doi.org/10.1109/icce.2014.6776063 Zobrazit plný text záznamu