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What is Pedestrian Detection
In any intelligent video surveillance system, the identification of pedestrians is a task that is both crucial and significant. This is because it supplies the fundamental information that is necessary for the semantic comprehension of the available video data. Considering the fact that it has the ability to enhance safety systems, it is apparent that it has applications in the automotive industry. In 2017, a number of automobile manufacturers provide this as an alternative to ADAS.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Pedestrian detection
Chapter 2: Boosting (machine learning)
Chapter 3: Canny edge detector
Chapter 4: Image segmentation
Chapter 5: Scale-invariant feature transform
Chapter 6: Feature (computer vision)
Chapter 7: People counter
Chapter 8: Structure from motion
Chapter 9: Takeo Kanade
Chapter 10: Articulated body pose estimation
(II) Answering the public top questions about pedestrian detection.
(III) Real world examples for the usage of pedestrian detection in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Pedestrian Detection.
In any intelligent video surveillance system, the identification of pedestrians is a task that is both crucial and significant. This is because it supplies the fundamental information that is necessary for the semantic comprehension of the available video data. Considering the fact that it has the ability to enhance safety systems, it is apparent that it has applications in the automotive industry. In 2017, a number of automobile manufacturers provide this as an alternative to ADAS.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Pedestrian detection
Chapter 2: Boosting (machine learning)
Chapter 3: Canny edge detector
Chapter 4: Image segmentation
Chapter 5: Scale-invariant feature transform
Chapter 6: Feature (computer vision)
Chapter 7: People counter
Chapter 8: Structure from motion
Chapter 9: Takeo Kanade
Chapter 10: Articulated body pose estimation
(II) Answering the public top questions about pedestrian detection.
(III) Real world examples for the usage of pedestrian detection in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Pedestrian Detection.