This document provides an overview of real-time image processing. It begins with introducing real-time image processing and how it differs from ordinary image processing by having deadlines and predictable response times. The document then discusses the requirements for a real-time image processing system including high resolution video input, low latency, and high processing performance. It also covers applications such as mobile robots and human-computer interaction. In the end, it provides definitions of real-time image processing in both the perceptual and signal processing senses.

1. REAL TIME IMAGE
PROCESSING
Guided by
Prof. K.S. Ingle
Student name
Ashwini Jagdhane.
M.E. (EC)

2. Contents
 Introduction
 Literature survey
 Requirements
 Difference between real and non real time processing
 General detection system
 System design
 Advantages
 Disadvantages
 Applications
 Future scope
 Definitions in RTIP in different sense
 References

3. Introduction
•What is Real-time Image Processing?
•How it differs from ordinary Image
Processing?
•What is the need for Real time image
processing?

4. REAL TIME PROCESSING VS NON REAL
TIME PROCESSING
Real time processing Non real time processing
 Is continuous  Is non continuous
 Also called interactive  Also called as batch
processing processing
 Have deadlines  Not have deadlines
 Have predictable response  Extended over time period
time  In batch processing missed
 With soft real-times, missing a deadlines might mean that the
deadline indicates that the computer needs more
system is not working at its processing capacity to finish
peak tasks.

5. Literature survey
 Vehicle detection system
 Speed controller
 Image recognition with hardware neural
networks
 Real time yahoo! store order processing

6. Vehicle detection system

7. General vehicle detection system

8. Wireless vehicle detection system

9. Image recognition with hardware neural networks

10. Non real synthesis
When the processing of sound is first calculated
entirely and saved to an audio file (which can be
listened to later) one speaks of non-realtime or
offline synthesis.

11. Real time synthesis
When the stream of data goes directly to the audio
interface as it is processed, so that there are only
few milliseconds between the processing and the
listening of the synthesized sound, one speaks of
realtime synthesis.

12. Real time yahoo! Store order processing

13. General detection system

14. Image analysis system structure

15. System design

16. Real-Time Image Processing Platform
Requirements:
• High resolution, high frame rate video
input
• Low latency video input
• Low latency operating system scheduling
• High processing performance

17. Sampling resolution
 Image processing attempts to extract
information from the outside world through its
visual appearance. Therefore adequate
information must be provided to the processing
algorithm by the video input hardware.
 Broadcast video provides a practical reference
point as most cameras provide images in
formats derived from broadcast standards
regardless of their computer interface
(analog, USB etc).

18. Advantages
1. Customer can see the results immediately.
2. Allows you to automate your business. This
is especially important if your time is very
limited.
3. Real-time image processing also helps
eliminate customer errors.
4. Real-time image processing is fast .
5. Real-time image processing is continuous.

19. Disadvantages
Causes many errors when many people code
together on the same document. There are
chances that they use the same variables for
different tasks.
 In some cases infrared cameras used to detect the
object having low pixel capability. Therefore
object identification fails.

20. Applications
 Deriving a compact representation.
 Includes spatial or temporal down-sampling.
 Spatial block partitioning.
 Region of interest or selective processing.
 Formulating the algorithm in a multi resolution or
processing framework.
 Mobile robots.
 Video-based interfaces for human computer
interaction.

21. Definitions of RTIP in different sense
 Real-time in the perceptual sense
It is used mainly to describe the interaction
between a human and a computer device for a
near instantaneous response of the device to an
input by a human user. For instance, Bovik
defines the concept of “real-time” in the context
of video processing, describing that “the result of
processing appears effectively „instantaneously‟
(usually in a perceptual sense) once the input
becomes available”.

22. Definitions of RTIP in different sense
 Real-time in the signal processing sense
It is based on the idea of completing processing in
the time available between successive input samples.
An important item of note here is that one way to
gauge the “real-time” status of an algorithm is to
determine some measure of the amount of time it
takes for the algorithm to complete all requisite
transferring and processing of image data, and then
making sure that it is less than the allotted time for
processing.

23. Future scope
 The performance requirements of image processing
applications have continuously increased the computing
power of implementation platforms, especially when
they are executed under real time constraints.
 The real time applications may consist of different image
standards, or different algorithms used at different stages
of the processing chain.
 The computing paradigm using reconfigurable
architectures promises an intermediatetrade-off between
flexibility and performance.

24. REFERENCES
 http://www.scribd.com/doc/6738837/Real-Time-Image-and-Video-Processing-
From-Research-to-Reality (First Edition 10 9 8 7 6 5 4 3 2 1 Printed in the
United States of America)
 http://www.authorstream.com/Presentation/pl_arun-360868-image-processing-
ip-arunpl-science -technology-ppt-power point
 Rourke , A., and Bell, M.G.H.: „Queue detection and congestion monitoring
using mage processing‟, Traffic Engg. and Control
 A. Bovik, Introduction to Digital Image and Video Processing, in Handbook of
Image &VideoProcessing, A. C. Bovik, Ed., Elsevier AcademicPress, 2005
 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2678783/ Real-time processing
for Fourier domain optical coherence tomography using a field programmable
gate array
 Grueger, H., R. Gottfried-Gottfried, M. Schwarzenberg, M. Scholles and R.
Zachmann, 2001. Magnetic trac detection using fluxgate sensors. Proc. Int.
Conf. Sensor, 2: 351-356

25. QUERY?????

26. THANK YOU
!!!