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Work Package 5 – Behaviour Modelling How to assess?

Work Package 5 – Behaviour Modelling How to assess?. Contents. WP5 Diagram Make an assessment for each layer Previous Works Evaluation Process References. WP5 Diagram. Layer 1. Low-Level Actions. Layer 2 fusion. HMM or BN. Output. High-Level Action.

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Work Package 5 – Behaviour Modelling How to assess?

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  1. Work Package 5 – Behaviour Modelling How to assess?

  2. Contents • WP5 Diagram • Make an assessmentfor each layer • Previous Works • Evaluation Process • References

  3. WP5 Diagram Layer 1 Low-Level Actions Layer 2 fusion HMM or BN Output High-Level Action

  4. Make an assessmentfor each layer • 1 – Make an assessment for the methods in first layer • 2- Make an Assessment for outputs of the second layer (Normal, Abnormal)

  5. Previous Works

  6. Measures In Computers In the Human Interaction Loop (CHIL) European project Brdiczka et al. [1] Chen et al. in [2]

  7. List Of Actions And Detection Results Kuklyte et al. in [3] presented a method to detect Anti-social behaviors by using multi-modal (audio and video) sensors.

  8. Evaluation Process

  9. Evaluation Process • Evaluate all of the methods (by the measures ) • Ground truth? 2. Make a list of detectable actions by the methods 3. Evaluate the final output of WP5 (False alarm)

  10. References • [1] O. Brdiczka, M. Langet, J. Maisonnasse, and J. L. Crowley. Detecting human behavior models from multimodal observation in a smart home. IEEE Transactions on Automation Science and Engineering, 6:588_597, October 2009. • [2] Datong Chen, Robert Malkin, and Jie Yang. Multimodal detection of human interaction events in a nursing home environment. In ICMI '04: Proceedings of the 6th international conference on Multimodal interfaces, pages 82_89, New York, NY, USA, 2004. ACM. • [3] Jogile Kuklyte, Philip Kelly, Ciaran O Conaire, Noel E. Oconnor, and Li qun Xu. Anti-social behavior detection in audio-visual surveillance systems. Reggio Emilia, Italy., December 2009. The Workshop on Pattern Recognition and Arti_cial Intelligence for Human Behaviour Analysis.

  11. Thank you!

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