Paper Info
Title
Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking
Abstract
In the future, the video-enabled camera will be the most pervasive type of sensor in the Internet of Things. Such cameras will enable continuous surveillance through heterogeneous camera networks consisting of fixed camera systems as well as cameras on mobile devices. The challenge in these networks is to enable efficient video analytics: the ability to process videos cheaply and quickly to enable searching for specific events or sequences of events. In this paper, we discuss the design and implementation of Kestrel, a video analytics system that tracks the path of vehicles across a heterogeneous camera network. In Kestrel, fixed camera feeds are processed on the cloud, and mobile devices are invoked only to resolve ambiguities in vehicle tracks. Kestrel's mobile device pipeline detects objects using a deep neural network, extracts attributes using cheap visual features, and resolves path ambiguities by careful association of vehicle visual descriptors, while using several optimizations to conserve energy and reduce latency. Our evaluations show that Kestrel can achieve precision and recall comparable to a fixed camera network of the same size and topology, while reducing energy usage on mobile devices by more than an order of magnitude.
Year
DOI
Venue
2018
10.1109/IoTDI.2018.00015
2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI)
Keywords
Field
DocType
Cyber-physical Systems,Video Analytics,Vehicle Trajectory Inference,Heterogeneous Camera Network
Computer science,Precision and recall,Computer network,Real-time computing,Feature extraction,Memory management,Mobile device,Vehicle tracking system,Artificial neural network,Analytics,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-6313-4
3
0.45
References 
Authors
20
8
Name
Order
Citations
PageRank
Hang Qiu1505.16
Xiaochen Liu2133.69
Swati Rallapalli320213.89
Archith J. Bency4222.20
kevin chan528422.53
Rahul Urgaonkar691050.12
B. S. Manjunath77561783.37
ramesh govindan8154302144.86