Robust Object Tracking for Resource-Limited Hardware Systems

TrackInk: An IoT-Enabled Real-Time Object Tracking System in Space

Sensors ◽

10.3390/s22020608 ◽

2022 ◽

Vol 22 (2) ◽

pp. 608

Author(s):

Cameron Aume ◽

Keith Andrews ◽

Shantanu Pal ◽

Alice James ◽

Avishkar Seth ◽

...

Keyword(s):

Object Tracking ◽

Real Time ◽

Tracking System ◽

Space Station ◽

Geographical Location ◽

Physical World ◽

Smart Devices ◽

The Internet ◽

Distributed Data ◽

Resource Limited

Nowadays, there is tremendous growth in the Internet of Things (IoT) applications in our everyday lives. The proliferation of smart devices, sensors technology, and the Internet makes it possible to communicate between the digital and physical world seamlessly for distributed data collection, communication, and processing of several applications dynamically. However, it is a challenging task to monitor and track objects in real-time due to the distinct characteristics of the IoT system, e.g., scalability, mobility, and resource-limited nature of the devices. In this paper, we address the significant issue of IoT object tracking in real time. We propose a system called ‘TrackInk’ to demonstrate our idea. TrackInk will be capable of pointing toward and taking pictures of visible satellites in the night sky, including but not limited to the International Space Station (ISS) or the moon. Data will be collected from sensors to determine the system’s geographical location along with its 3D orientation, allowing for the system to be moved. Additionally, TrackInk will communicate with and send data to ThingSpeak for further cloud-based systems and data analysis. Our proposed system is lightweight, highly scalable, and performs efficiently in a resource-limited environment. We discuss a detailed system’s architecture and show the performance results using a real-world hardware-based experimental setup.

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Abstract #288 Dyslipidemia in Childhood Type 1 Diabetes in India: Prevalence Correlates and Management Challenges in a Resource Limited Setting

Endocrine Practice ◽

10.1016/s1530-891x(20)46632-7 ◽

2019 ◽

Vol 25 ◽

pp. 117

Author(s):

S Chandraprabha ◽

T Jayalakshmi ◽

Reshma Vijay ◽

Kavitha Muniraj ◽

Muralidhara Krishna ◽

...

Keyword(s):

Type 1 Diabetes ◽

Resource Limited Setting ◽

Resource Limited ◽

Childhood Type 1 Diabetes ◽

Childhood Type ◽

Limited Setting

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Multiple-Object Tracking

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000085 ◽

2011 ◽

Vol 58 (3) ◽

pp. 196-200 ◽

Cited By ~ 15

Author(s):

K. Botterill ◽

R. Allen ◽

P. McGeorge

Keyword(s):

Object Tracking ◽

Cognitive Processes ◽

Spatial Location ◽

Multiple Object Tracking ◽

Tracking Performance ◽

Multiple Object

The Multiple-Object Tracking paradigm has most commonly been utilized to investigate how subsets of targets can be tracked from among a set of identical objects. Recently, this research has been extended to examine the function of featural information when tracking is of objects that can be individuated. We report on a study whose findings suggest that, while participants can only hold featural information for roughly two targets this task does not affect tracking performance detrimentally and points to a discontinuity between the cognitive processes that subserve spatial location and featural information.

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