|Topic:||Monocular body height measurement|
|Supervisor:||Ing. Jan Čech Ph.D.|
A human body height is a cue which could be used in identity recognition in a surveillance setup. Identity of a subject is usually recognized from face images, which is however not always available in a sufficient quality, due to a limited resolution, distance, or occlusion. Therefore multiple cues is fused in order to recognize the subject's identity more reliably: face recognition, body height, or gait [1,2].
Body height can be measured absolutely with a single camera in a calibrated setup , or at least relatively (e.g. who is taller than who/what) if the calibration information is limited or unavailable.
This topic would require designing a ground-truth experiment in order to study various aspects as camera resolution, camera angle, subject distance, and their impact on accuracy of the measurement. A fusion with face recognition could be also further investigated.
The image is a reproduction from .
 Worapan Kusakunniran, Qiang Wu, Jian Zhang, Yi Ma, and Hongdong Li. A New View-Invariant Feature for Cross-View Gait Recognition. IEEE Trans. on Information Forensics and Security, 8(10), 2012.
 Sudeep Sarkar, P. Jonathon Phillips, Zongyi Liu, Isidro Robledo Vega, Patrick Grother, and Kevin W. Bowyer. The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis. IEEE Trans. on PAMI, 27(2), 2005.
 A. Criminisi, I. Reid and A. Zisserman. Single View Metrology. International Journal of Computer Vision 40(2), 2000.
|Realization form:||software, technical report|