Real-time video analysis on an embedded smart camera for traffic surveillance

Bramberger, Michael; Brunner, Julia; Rinner, Bernhard; Schwabach, Helmut

doi:10.1109/rttas.2004.1317262

Cited by 101 publications

(46 citation statements)

References 9 publications

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“…They have been extensively used in traffic monitoring applications [10]. In terms of flash flood sensing, their main limitation is related to the low visibility occurring during flash flood events, and the tracking of water velocity (which is different from the velocity of surface waves).…”

Section: Sensing Principle a Sensor Design Considerationsmentioning

confidence: 99%

A Novel Dual Traffic/Flash Flood Monitoring System Using Passive Infrared/Ultrasonic Sensors

Mousa

Oudat

Claudel³

2015

2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems

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Section: Sensing Principle a Sensor Design Considerationsmentioning

confidence: 99%

A Novel Dual Traffic/Flash Flood Monitoring System Using Passive Infrared/Ultrasonic Sensors

Mousa

Oudat

Claudel³

2015

2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems

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“…On the other hand, data compression in sensor networks is concerned with reducing the number of bits to be transmitted while maintaining the meaning of information. As an example, source coding techniques used for data compression in WMSNs are: MPEG-4 [23], DPCM/DCT [19], H.263 [17] and JPEG [24].…”

Section: Energy Constraintsmentioning

confidence: 99%

A Priority Rate-Based Routing Protocol for Wireless Multimedia Sensor Networks

Tshiningayamwe

Lusilao-Zodi

Dlodlo

2015

Advances in Intelligent Systems and Computing

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The development of affordable hardware has made it possible to transmit multimedia data over a wireless medium using sensor devices. Deployed sensors span larger geographical areas, generating different kinds of traffic that need to be communicated either in real-time or non-realtime mode to the sink. The tiny sized design of sensor nodes has made them even more attractive in various environments as they can be left unattended for longer periods.Since sensor nodes are equipped with limited resources, newer energy-efficient protocols and architectures are required in order to meet requirements within their limited capabilities when dealing with multimedia data. This is because multimedia applications are characterized by strict quality of service requirements that distinctively differentiate them from other data types during transmission. However, the large volume of data produced by the sensor nodes can easily cause traffic congestion making it difficult to meet these requirements. Congestion has negative impacts on the data transmitted as well as the sensor network at large. Failure to control congestion will affect the quality of multimedia data received at the sink and further shorten the system lifetime.Next generation wireless sensor networks are predicted to deploy a different model where service is allocated to multimedia while bearing congestion in mind. Applying traditional wireless sensor routing algorithms to wireless multimedia sensor networks may lead to high delay and poor visual quality for multimedia applications.In this research, a Priority Rate-Based Routing Protocol (PRRP) that assigns priorities to traffic depending on their service requirements is proposed. PRRP detects congestion by using adaptive random early detection (A-RED) and a priority rate-based adjustment technique to control congestion.We study the performance of our proposed multi-path routing algorithm for real-time traffic when mixed with three non real-time traffic each with a different priority: high, medium or low. Simulation results show that the proposed algorithm performs better when compared to two existing algorithms, PCCP and PBRC-SD, in terms of queueing delay, packet loss and throughput.vi

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“…An example of video analytics for traffic surveillance is described in [3]. A smart camera using a CMOS imager is described with an embedded DSP for analytics.…”

Section: Transportationmentioning

confidence: 99%

Challenges in Video Analytics

Gagvani¹

2009

Embedded Computer Vision

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Video analytics technology has matured and found application in a variety of fields over the past decade. This chapter discusses the current state-ofthe-art, and describes challenges for future video analytics implementations. Current applications and markets for video analytics are described in the context of a processing pipeline. Application-specific challenges are described with potential solutions to those challenges. This chapter also lists some implementation considerations for embedded video analytics and concludes with future and emerging applications of video analytics. IntroductionVideo analytics is an industry term for the automated extraction of information from video for a variety of purposes. It is a combination of imaging, computer vision, pattern analysis, and machine intelligence applied to real-world problems. Its utility spans several industry segments including video surveillance, retail, and transportation. Video analytics is distinct from machine vision or machine inspection and is similar to automotive vision. Some applications of analytics include the detection of suspicious objects and activities for offering better security, in license plate recognition and traffic analysis for intelligent transportation systems, and in customer counting and queue management for retail applications.The past decade has seen the maturation of algorithms and the adoption of analytics solutions in these markets. Analytics has progressed from research labs, with algorithms running on powerful workstations and PCs to current real-time embedded implementations on consumer-grade embedded processors. At the same time, the range of applications for analytics has also grown, with current trends indicating

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Real-time video analysis on an embedded smart camera for traffic surveillance

Cited by 101 publications

References 9 publications

A Novel Dual Traffic/Flash Flood Monitoring System Using Passive Infrared/Ultrasonic Sensors

A Novel Dual Traffic/Flash Flood Monitoring System Using Passive Infrared/Ultrasonic Sensors

A Priority Rate-Based Routing Protocol for Wireless Multimedia Sensor Networks

Challenges in Video Analytics

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