This document summarizes a seminar on computer vision presented by Kuldeep Shukla. It defines computer vision as using algorithms and representations to allow machines to recognize objects, people, scenes and activities from visual data, similar to human vision. It discusses key topics in computer vision including detection, activity recognition, object categorization and attribute recognition. Active research areas presented include facial expression recognition, eye tracking interfaces, object recognition in mobile phones, traffic signal detection and non-rigid object tracking. The seminar provided examples of applications of computer vision techniques.

1. SEMINAR
ON
COMPUTER VISION
PRESENTATION BY:
KULDEEP SHUKLA
National Institute Of Technical
Teachers Training &Research

2. WHAT IS COMPUTER VISION
 Automatic understanding of images and video
 Computing properties of the 3D world from visual data
(measurement)
 Algorithms and representations to allow a machine to
recognize objects, people, scenes, and activities.
(perception and interpretation)
 Algorithms to mine, search, and interact with visual data
(search and organization)

3. HUMAN VISION
 Vision is the process of discovering what is
present in the world and where it is by looking .

4. COMPUTER VISION
 Computer vision is the study of analysis of
picture and video in order to achieve similar to
those as by people.

5. COMPUTER VISION VS. HUMAN VISION

6. WHAT DOES RECOGNITION INVOLVE?

7. Detection: are there people?

8. Activity: What are they doing?

9. Object categorization
mountain
building
tree
banner
vendor
people
street lamp

10. Attribute recognition
flat
gray
made of
fabric
crowded

11. WHY RECOGNITION?
 Recognition a fundamental part of
perception
 e.g., robots, autonomous agents
 Organize and give access to visual
content
 Connect to information
 Detect trends and themes

12. ACTIVE RESEARCH TOPICS
IN
COMPUTER VISION
AND
APPLICATION

13. USING COMPUTER VISION:
FACIAL EXPRESSIONS
 Here are pictures of people and their
expressions. As you can see, below the faces,
the camera can sense where the main features
change in the face.

14. COMPUTER VISION : SPEAKING WITH EYES
 The computer senses your eyes and notices the eye
movements. When someone blinks the computer would
click something.
 Looking into the side, or raising eyebrows are some
ways to communicate with your eyes in the computer.
 There’s also the eye gaze detection that detects where
you are trying to move to.

15. OBJECT RECOGNITION (IN MOBILE PHONE)

16. FACE DETECTION IN DIGITAL CAMERA

17. TRACKING – RIGID OBJECTS

18. TRAFFIC SIGNAL DETECTION

19. TRACKING – NON-RIGID OBJECTS

20. FACE TRACKING

21. REFERENCES
 https://scholar.google.co.in/scholar?q=computer+vision&hl=
e
 https://www.youtube.com/watch?v=715uLCHt4jE&list=PLd3
hlSJsX_Imk_BPmB_H3AQjFKZS9XgZmYouTube
 A book on Computer Vision: Algorithms and Applications
Richard Szeliski

22. THANK YOU!...