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Action Recognition from Above: Research Insights and Challenges

This report summarizes the research conducted during Week 8 of the UCF REU program, focusing on "Actions From Above." The study aims to recognize various actions involving single individuals, person-to-person interactions, and person-vehicle/building scenarios. Key challenges include handling moving cameras and limited views of subjects. A dataset of seven distinct actions performed by multiple individuals was collected, including walking, running, limping, throwing, kicking, picking up objects, and digging. Sample videos illustrate these actions, contributing to advancements in action recognition techniques.

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Action Recognition from Above: Research Insights and Challenges

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  1. Action Recognition Karthik Prabhakar UCF REU 2008, Week 8 Report July 11, 2008

  2. Research Topic (refined) • ‘Actions From Above’ • Tasks – Recognize actions involving: • Single-person (running, limping, throwing, etc.) • Person-person (meeting, dispersing, following, etc.) • Person-vehicle/building (getting-in, getting-out, etc.) • Problems to be solved: • Moving camera (in addition to moving people/objects) • View ‘from above’ (can’t see the entire body) • ‘Far-field’ view (maximum of 10-15 pixels per person)

  3. Data Collection 1(Single-Person) • Collected a simple dataset of 7 actions performed by different individuals. • Actions include: • Walking, Running, Limping, Throwing, Kicking, Picking up an object, and Digging.

  4. Sample Videos (Digging)

  5. Sample Videos (Kicking)

  6. Sample Videos (Picking Up)

  7. Sample Videos (Throwing)

  8. Sample Videos (IR Camera)

  9. Tests on Action MACH

  10. Tests on Action MACH

  11. Tests on Action MACH

  12. Tests on Action MACH

  13. Tests on Efroset. al. • Recognizing Actionat aDistance. A.A. Efros, A.C. Berg, G. Mori, J. Malik. ICCV 2003.

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