Fast Hand Detection in Collaborative Learning Environments

Autor:	Carlos LopezLeiva, Sravani Teeparthi, Sylvia Celedón-Pattichis, Venkatesh Jatla, Marios S. Pattichis
Rok vydání:	2021
Předmět:	Computer science business.industry Video tracking Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Collaborative learning Artificial intelligence Tracking (particle physics) business Object detection
Zdroj:	Computer Analysis of Images and Patterns ISBN: 9783030891275 CAIP (1)
DOI:	10.1007/978-3-030-89128-2_43
Popis:	Long-term object detection requires the integration of frame-based results over several seconds. For non-deformable objects, long-term detection is often addressed using object detection followed by video tracking. Unfortunately, tracking is inapplicable to objects that undergo dramatic changes in appearance from frame to frame. As a related example, we study hand detection over long video recordings in collaborative learning environments. More specifically, we develop long-term hand detection methods that can deal with partial occlusions and dramatic changes in appearance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7c55ef387533b7b20d2bdea2d9f92960 https://doi.org/10.1007/978-3-030-89128-2_43 Zobrazit plný text záznamu