Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: Person Detection

Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: Person Detection

Assessment

Interactive Video

Information Technology (IT), Architecture, Other

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial discusses the desirable properties of an ideal object detector, focusing on shift, scale, and rotation invariance. It explains how these invariances can be achieved using methods like sliding windows, Gaussian pyramids, and data augmentation. The tutorial introduces the Histogram of Oriented Gradients (HOG) method for person detection, based on the work of Dalal and Triggs. It details the HOG feature extraction process and the use of Support Vector Machines (SVM) for classification. The video also covers the practical application of HOG, including scaling and bounding box detection, highlighting its significance in pedestrian detection.

Read more

1 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF

Access all questions and much more by creating a free account

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

Already have an account?