Seminar presented by Soniya Kumari of SOE,CUSAT.

1. REAL TIME IMAGE PROCESSING From research to reality GUIDE:SHEENA S By: SONIYA KUMARI

2. OVERVIEW INTRODUCTION HARDWARE PLATFORM TO RTIP RTIP ON DISTRIBUTED COMPUTER SYSTEMS RTIP APPLIED TO TRAFFIC QUEUE APPLICATIONS CONCLUSION

4. Real Time

5. Real-time in the perceptual sense

7. How it differs from ordinary Image Processing?

11. Spatial resolution and temporal resolution are both crucialcamera ADC driver RTIP display bus

12. Low Latency Video Input Latency targets perceived synchronicity Unavoidable latency 1 to 2 frames(40 - 80ms for PAL) Additional latency must be minimized

13. Low Latency Operating System Scheduling Processing of video signals depend on -video capture hardware in use. -driver component. Software components has crucial impact on system latency. To avoid loss of input data, buffering is introduced to cover lag. Mac OS X has excellent low latency performance.

14. High Processing Performance Both latency and throughput are important PAL video frame: 884Kb Sustained data rate: 22Mb/s Memory bandwidth is crucial. AltiVec is very useful .

18. Intermediate -level operations

22. Ultimate goal is to reduce the amount of data to form a set of features suitable for further high-level processing.

25. Image analysis system structure: - backing store data bus RAM 64kbytes CCTV camera ADC 16-Bit mini-computers DAC Printer Monitor

27. ADC Conversion

28. Pre-processingTo cope with this, two methods are proposed: 1. Analyze data in real time – uneconomical 2. Stores all data and analyses off-line at low speed

29. Two jobs to be done: Green light on: - determine no. of vehicles moving along particular lanes and their classification by shape and size. Red light on: - determine the backup length along with the possibility to track its dynamics and classify vehicles in backup.

31. For this purpose two different algorithms have been used:-

32. Motion detection operation

35. augmented reality

36. context aware computing

38. AUGMENTED REALITY A combination of a real scene viewed by a user and a virtual scene generated by a computer that augments the scene with additional information.

39. CONTEXT AWARE COMPUTING A system is context-aware if it uses context to provide relevant information and/or services to the user, where relevancy depends on the user’s task.

40. CONCLUSION RTIP involves many aspects of hardware and software in order to achieve high resolution input,low latency capture,high performance processing and efficient display.The measure- mentalgorithm has been applied to traffic scenes with different lighting conditions. And RTIP be at the heart of many applications.

41. THANK YOU ?