| "Both cameras and IoT devices have their particular capabilities in tracking human behaviors and statuses.
Their correlations are, however, unclear. In this work, we propose a framework for integrating video and wearable IoT data for smart surveillance and intelligent human-computer interaction.
We demonstrate how to retrieve IoT data from devices, which are attached on human objects, and correctly tag them on the human objects captured by a camera, thus correlating video and IoT data.
The main idea is to conduct fusion of multi-sensory data through machine learning or deep learning.
Several fusion examples are demonstrated for human flow tracking, behavior analysis, and smart retails."
|
