.png){kind=icon}
Return
Multiple Human Tracking Using Binary Infrared Sensors
.png){kind=icon}
OA
AI
DOI：10.3390/s150613459.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To create a context-aware environment, human locations and movement paths must be considered. In this paper, we propose an algorithm that tracks human movement paths using only binary sensed data obtained by infrared (IR) sensors attached to the ceiling of a room. Our algorithm can estimate multiple human movement paths without a priori knowledge of the number of humans in the room. By repeating predictions and estimations of human positions and links from the previous human positions to the estimated ones at each time period, human movement paths can be estimated. Simulation-based evaluation results show that our algorithm can dynamically trace human movement paths.
Keywords:
infrared sensor
multiple human tracking
privacy
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.5
Papers:
7.2W
Citations:
20.9W
Organization
Cited Papers
ShareSaveShareSaveShareSave2017 W.R. Whitney Award: Perspectives on Chloride Interactions with Passive Oxides and Oxide Film Breakdown.png)
Corrosion
CorrosionIF0
PREAI
ShareSaveShareSaveShareSaveMultiple Human Tracking and Identification With Wireless Distributed Pyroelectric Sensor Systems
PREAI
ShareSave
View more