Sensor network based vehicle classification and license plate identification system

Frigo, Janette; Kulathumani, Vinod; Brennan, S.; Rosten, Edward; Raby, Eric Y

doi:10.1109/inss.2009.5409916

Cited by 14 publications

(18 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where F (1) and F (2) . In addition, the constructed majorizing function can be expressed as follows:…”

Section: Conclusion and Further Workmentioning

confidence: 99%

See 1 more Smart Citation

A framework based on barycentric coordinates for localization in wireless sensor networks

Hou

Huang

2013

Computer Networks

View full text Add to dashboard Cite

“…where F (1) and F (2) . In addition, the constructed majorizing function can be expressed as follows:…”

Section: Conclusion and Further Workmentioning

confidence: 99%

“…Wireless sensor networks (WSNs), which comprise a large number of small battery-powered devices that can sense, process and communicate data, are presently being used on a wide scale to monitor the environment, track objects and so on [1][2][3]. The position information of the device nodes in most of these tasks is vital.…”

Section: Introductionmentioning

confidence: 99%

A framework based on barycentric coordinates for localization in wireless sensor networks

Hou

Huang

2013

Computer Networks

View full text Add to dashboard Cite

“…To evaluate the event detector in the context of a remote sensing application, we used the acoustic vehicle classification scenario described in [8] and the associated dataset consisting of forty 10-second audio recordings of vehicles. The objective was to detect the presence of a vehicle and classify it as either a car or a truck.…”

Section: System Operationmentioning

confidence: 99%

A low-power, programmable analog event detector for resource-constrained sensing systems

Rumberg

Graham

Kulathumani

2012

2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)

Self Cite

View full text Add to dashboard Cite

We present an integrated analog signal processor for resource-constrained sensing applications, such as wireless sensor networks, wherein sensors are remotely deployed in inaccessible locations. The processor, which is reconfigurable and operates at 27.8µW, extends the capabilities of sensor nodes by performing spectral analysis and event detection in low-power circuits. The performance of the IC is demonstrated in an example sensing application (i.e. vehicle classification).

show abstract

“…To achieve very high speed video processing we use an algorithm which takes elements from two algorithms known to produce very efficient classifiers, namely the Viola-Jones [8] object detection algorithm and the ID3 [9] decision tree classifier. The algorithm details for license plate segmentation, bounding and resampling are found in [10]. Figure 5 shows a sample output from the license plate detection node.…”

Section: License Plate Detection Algorithmsmentioning

confidence: 99%

Radiation detection and situation management by distributed sensor networks

Frigo

Brennan

Esch

et al. 2009

Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing

Self Cite

View full text Add to dashboard Cite

Detection of radioactive materials in an urban environment usually requires large, portal-monitor-style radiation detectors. However, this may not be a practical solution in many transport scenarios. Alternatively, a distributed sensor network (DSN) could complement portal-style detection of radiological materials through the implementation of arrays of low cost, small heterogeneous sensors with the ability to detect the presence of radioactive materials in a moving vehicle over a specific region. In this paper, we report on the use of a heterogeneous, wireless, distributed sensor network for traffic monitoring in a field demonstration. Through wireless communications, the energy spectra from different radiation detectors are combined to improve the detection confidence. In addition, the DSN exploits other sensor technologies and algorithms to provide additional information about the vehicle, such as its speed, location, class (e.g. car, truck), and license plate number. The sensors are in-situ and data is processed in real-time at each node. Relevant information from each node is sent to a base station computer which is used to assess the movement of radioactive materials.

show abstract

Sensor network based vehicle classification and license plate identification system

Cited by 14 publications

References 16 publications

A framework based on barycentric coordinates for localization in wireless sensor networks

A framework based on barycentric coordinates for localization in wireless sensor networks

A low-power, programmable analog event detector for resource-constrained sensing systems

Radiation detection and situation management by distributed sensor networks

Contact Info

Product

Resources

About