U. Muehlmann, M. Ribo, P. Lang, and A. Pinz, A new high speed cmos camera for real-time tracking applications, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, pp.5195-5200, 2004.
DOI : 10.1109/ROBOT.2004.1302542

H. Oku, N. Ogawa, M. Ishikawa, and K. Hashimoto, Two-dimensional tracking of a motile micro-organism allowing high-resolution observation with various imaging techniques, Review of Scientific Instruments, vol.76, issue.3, 2005.
DOI : 10.1063/1.1857632

T. Delbruck, B. Linares-barranco, E. Culurciello, and C. Posch, Activity-driven, event-based vision sensors, Proceedings of 2010 IEEE International Symposium on Circuits and Systems, pp.2426-2429, 2010.
DOI : 10.1109/ISCAS.2010.5537149
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.192.1551

T. Delbruck, Frame-free dynamic digital vision, Proceedings of Intl. Symposium on Secure-Life Electronics, Advanced Electronics for Quality Life and Society, pp.21-26, 2008.

C. Posch, D. Matolin, and R. Wohlgenannt, A QVGA 143 dB Dynamic Range Frame-Free PWM Image Sensor With Lossless Pixel-Level Video Compression and Time-Domain CDS, IEEE Journal of Solid-State Circuits, vol.46, issue.1, pp.259-275, 2011.
DOI : 10.1109/JSSC.2010.2085952

P. Lichtsteiner, C. Posch, and T. Delbruck, A 128<formula formulatype="inline"><tex>$\times$</tex> </formula>128 120 dB 15 <formula><tex>$\mu$</tex></formula>s Latency Asynchronous Temporal Contrast Vision Sensor, IEEE Journal of Solid-State Circuits, vol.43, issue.2, pp.566-576, 2008.
DOI : 10.1109/JSSC.2007.914337

K. A. Boahen, Point-to-point connectivity between neuromorphic chips using address events, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol.47, issue.5, pp.416-434, 2000.
DOI : 10.1109/82.842110
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.3870

A. Handa, R. A. Newcombe, A. Angeli, and A. J. Davison, Real-Time Camera Tracking: When is High Frame-Rate Best?, ECCV (7), ser. Lecture Notes in Computer Science
DOI : 10.1007/978-3-642-33786-4_17

T. Komuro, I. Ishii, M. Ishikawa, and A. Yoshida, A digital vision chip specialized for high-speed target tracking, IEEE Transactions on Electron Devices, vol.50, issue.1, pp.191-199, 2003.
DOI : 10.1109/TED.2002.807255

T. Constandinou and C. Toumazou, A Micropower Centroiding Vision Processor, IEEE Journal of Solid-State Circuits, vol.41, issue.6, pp.1430-1443, 2006.
DOI : 10.1109/JSSC.2006.874330

M. Litzenberger, A. Belbachir, N. Donath, G. Gritsch, H. Garn et al., Estimation of Vehicle Speed Based on Asynchronous Data from a Silicon Retina Optical Sensor, 2006 IEEE Intelligent Transportation Systems Conference, pp.653-658, 2006.
DOI : 10.1109/ITSC.2006.1706816

M. Litzenberger, C. Posch, D. Bauer, A. Belbachir, P. Schon et al., Embedded Vision System for Real-Time Object Tracking using an Asynchronous Transient Vision Sensor, 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop, pp.173-178, 2006.
DOI : 10.1109/DSPWS.2006.265448

T. Delbruck and P. Lichtsteiner, Fast sensory motor control based on event-based hybrid neuromorphic-procedural system, 2007 IEEE International Symposium on Circuits and Systems, pp.845-848, 2007.
DOI : 10.1109/ISCAS.2007.378038

J. Conradt, M. Cook, R. Berner, P. Lichtsteiner, R. Douglas et al., A pencil balancing robot using a pair of AER dynamic vision sensors, 2009 IEEE International Symposium on Circuits and Systems, pp.781-784, 2009.
DOI : 10.1109/ISCAS.2009.5117867

Z. Ni, C. Pacoret, R. Benosman, S. Ieng, and S. Regnier, Asynchronous event-based high speed vision for microparticle tracking, Journal of Microscopy, vol.23, issue.3, pp.236-244, 2012.
DOI : 10.1111/j.1365-2818.2011.03565.x

D. Drazen, P. Lichtsteiner, P. Häfliger, T. Delbrück, and A. Jensen, Toward real-time particle tracking using an event-based dynamic vision sensor, Experiments in Fluids, vol.72, issue.12, pp.1465-1469, 2011.
DOI : 10.1007/s00348-011-1207-y
URL : http://www.zora.uzh.ch/60624/1/Drazen_EIF_2011.pdf

Z. Ni, A. Bolopion, J. Agnus, R. Benosman, and S. Regnier, Asynchronous event-based visual shape tracking for stable haptic feedback in microrobotics, IEEE Transactions on Robotics, vol.28, pp.1081-1089, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00767638

M. Fashing and C. Tomasi, Mean shift is a bound optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.3, pp.471-474, 2005.
DOI : 10.1109/TPAMI.2005.59
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.2026

D. Comaniciu, V. Ramesh, and P. Meer, Kernel-based object tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.5, pp.564-577, 2003.
DOI : 10.1109/TPAMI.2003.1195991

H. Zhou, Y. Yuan, and C. Shi, Object tracking using SIFT features and mean shift, Computer Vision and Image Understanding, vol.113, issue.3, pp.345-352, 2009.
DOI : 10.1016/j.cviu.2008.08.006

K. Krishnamoorthy, Handbook of Statistical Distributions with Applications, Boca Raton, vol.20064736, 2006.
DOI : 10.1201/9781420011371

D. H. Hubel and T. N. , Receptive fields, binocular interaction and functional architecture in the cat's visual cortex, The Journal of Physiology, vol.160, issue.1, pp.106-154, 1962.
DOI : 10.1113/jphysiol.1962.sp006837

M. A. Fischler and R. A. Elschlager, The Representation and Matching of Pictorial Structures, IEEE Transactions on Computers, vol.22, issue.1, pp.67-92, 1973.
DOI : 10.1109/T-C.1973.223602

X. Lagorce-received-the and B. Sc, Agrégation " in electrical engineering in 2010 and the M.Sc. degree in Advanced Systems and Robotics in 2011 from the Ecole Normale Superieure de Cachan and the University of Paris-VI. He is currently preparing his Ph.D. degree at the Vision Institute in Paris, working on neurally inspired hardware systems and sensors, 2008.