Visual Recognition of Human Activities

Professors:Ana C. Murillo
Credits:3
Range:B
Note:

Full description

Title: Visual Recognition of Human Activities

Teacher: Prof. Ana C. Murillo Informatics and Engineering Systems Dpt., Universidad de Zaragoza, Spain.
http://webdiis.unizar.es/~anacris/web/Home.html

Dates: March 14-18, 2016

Preliminary Schedule:

Lecture 1. Image representation and visual classification. In this lecture we summarize the general structure of typical visual classification systems and describe main examples from different types of visual features/descriptors. Discuss properties of each one. We describe also the main characteristics of different kinds of cameras (including panoramic images/street view, omnidirectional cameras, wearable cameras, RGBD cameras, ...) and a more sophisticated visual recognition framework that can account for co-ocurrences and spatial distribution of features.

Lecture 2. Visual recognition of human features In this lecture we describe typical visual recognition systems targeting people (skin/face/hand detection and tracking). For each topic, we provide a generic/theoretical part explaining the techniques used and a real application example for simple pixel-wise classification and well-known object recognition problems (face/person).

Lecture 3. Visual recognition of human activities In this lecture we describe additional visual recognition systems targeting people (full person detection and tracking) and some examples of recognition of human activities.

Lecture 4. Visual recognition of moving objects from mobile cameras In this lecture we describe techniques for visual recognition of moving objects from moving cameras (e.g., mounted on a mobile robot or worn by a person). We describe the latest results with deep learning techniques applied to visual recognition. Lecture 5. Evaluation test for the students This final lecture will include a test for the students with small short questions, as well as presentations and demos of the students' homeworks.

 

More information at the following link: https://sites.google.com/a/unizar.es/visual-recognition-sapienza/