A Kinect-based system for automatic recording of some pigeon behaviors

Behavior Research Methods

Volumn 47, Issue 4, 2014, Pages 1044-1054

  Lyons, Damian M ^a   MacDonall, James S ^a   Cunningham, Kelly M ^a  

^a FORDHAM UNIVERSITY   (United States)

Author keywords

Key pecking; Kinect; Vision detecting behavior

Indexed keywords

ANIMAL; ANIMAL BEHAVIOR; BEHAVIORAL RESEARCH; DEVICES; FEEDING BEHAVIOR; LIGHT; PHYSIOLOGY; PIGEONS AND DOVES; REWARD;

ANIMALS; BEHAVIOR, ANIMAL; BEHAVIORAL RESEARCH; COLUMBIDAE; FEEDING BEHAVIOR; LIGHT; REWARD;

EID: 84947045073     PISSN: 1554351X     EISSN: 15543528     Source Type: Journal    
DOI: 10.3758/s13428-014-0531-6     Document Type: Article

References (21)

1. Bar-Shalom, Y., & Li, X.-R. (1993). Estimation and tracking: Principles, techniques and software. Norwood: Artech House.
2. Blom, H., & Bar-Shalom, Y. (1988). The interacting multiple model algorithm for systems with Markovian switching coefficients. IEEE Transactions on Automatic Control, 33, 780–783.
3. Blough, D. S. (1977). Photoelectric recording of pigeon-peck responses to computer-driven visual displays. Behavior Research Methods & Instrumentation, 9, 259–262.
4. Bradski, G., & Kaehler, A. (2008). Learning OpenCV: Computer vision with the OpenCV Library. San Francisco: O’Reilly.
5. Brown, P. L., & Jenkins, H. M. (1968). Auto-shaping of the pigeon’s key-peck. Journal of the Experimental Analysis of Behavior, 11, 1–8. doi:10.1901/jeab. 1968.11-1
6. Draelos, M. (2012). The Kinect up close: Modifications for short-range depth imaging. Raleigh: Unpublished MS Thesis, Dept. of Electrical Engineering, North Carolina State University.
7. Farmer, M. E., Hsu, R.-L., & Jain, A. K. (2002). Interacting Multiple Model (IMM) Kalman filters for robust high speed human motion tracking. Quebec: Paper presented at the 16th International Conference on Pattern Recognition (ICPR).
8. Freedman, B., Shpunt, A., Machline, M., & Arieli, Y. (2008). Depth mapping using projected patterns. Patent No. US 2010/0118123A1 (PrimeSense Patent for Kinect).
9. Gall, J., Stoll, C., Aguiar, E., Theobalt, C., Rosenhahn, B., & Seidel, H.-P. (2009). Motion capture using joint skeleton tracking and surface estimation. Miami: Paper presented at CVPR 2009.
10. Gomez-Martin, A., Partoune, N., Stephens, G. J., & Louis, M. (2012). Automated tracking of animal posture and movement during exploration and sensory orientation behaviors. PLoS ONE, 7, e41642. doi:10.1371/journal.pone.0041642
11. Moeslund, T., & Granum, E. (2001). A survey of computer vision-based human motion capture. Computer Vision and Image Understanding, 81, 231–268.
12. Ortega, J., Stoppa, L., Güntürkün, K., & Troje, N. F. (2013). Vision during head bobbing: Are pigeons capable of shape discrimination during the thrust phase? Experimental Brain Research, 199, 313–321.
13. Sharf, A., Lewiner, T., Shamir, A., & Kobbelt, L. (2007). On-the-fly curve-skeleton computation for 3D shapes. Prague: Paper presented at EUROGRAPHICS.
14. Silva, K. M., & Timberlake, W. (2005). A behavior systems view of the organization of multiple responses during a partially or continuously reinforced interfood clock. Learning & Behavior, 33, 99–110.
15. Song, D., Qin, N., Xu, Y., Kim, C., Luneau, D., & Goldberg, K. (2008). Systems and algorithms for an automatonous observatory assisting the search for the Ivory-Billed Woodbecker. Washington DC: Paper presented at the IEEE International Conference on Automation Science and Engineering (CASE).
16. Straka, M., Hauswiesner, S., Ruther, M., & Bischof, H. (2011). Skeletal graph based human pose estimation in real-time. Dundee: Paper presented at the 2011 British Machine Vision Conference.
17. Suma, E., Lange, B., Rizzo, A., Krum, D., & Bolas, M. (2011). FAAST: The flexible action and articulated skeleton toolkit. In IEEE Virtual Reality 2011 (pp. 247–248). Piscataway: IEEE Press.
18. Sundar, H., Silver, D., Garvani, N., & Dickson, S. (2003). Skeletal-based shape matching and retrieval. In Proceedings of SMI’03, the Shape Modeling International 2003 (pp. 130–140). Piscataway: IEEE Press.
19. Wheatley, K. L., & Engberg, K. A. (1978). Choice performance in several concurrent key-peck treadle-press reinforcement schedules. Journal of the Experimental Analysis of Behavior, 28, 181–190.
20. Zeiler, M., Taylor, Z., Troje, N., & Hinton, G. (2009). Modeling pigeon behaviour using a Conditional Restricted Boltzmann Machine. Brugge: Paper presented at the 17th European Symposium on Neural Networks.
21. Zhang, Z. (2000). A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330–1334.