Doctor en Ingeniería Informática y de Telecomunicación Álvaro García Martín received the M.S. degree in Electrical Engineering ("Ingeniero de Telecomunicación" degree) in 2007 (2002-2007) and the MPhil degree in Electrical Engineering and Computer Science (postgraduate Master) in 2009 and PhD in Computer Science in 2013 at Universidad Autónoma de Madrid (Spain). From 2006 to 2016, he has been with the Video Processing and Understanding Lab (VPU-Lab) at Universidad Autónoma of Madrid as a researcher and teaching assistant. In 2008 he received a FPI research fellowship from Universidad Autónoma de Madrid. He is currently an Assistant Professor (PhD) at Universidad Autónoma of Madrid. He has participated in several projects dealing with multimedia content transmission (PROMULTIDIS y MESH), video-surveillance (ATI@SHIVA) and activity recognition (SEMANTIC, EVENTVIDEO and HAVideo). He also serves as a reviewer for several international Journals (IEEE TIFS, IEEE CSVT, Springer MTAP,… ) and Conferences (IEEE ICIP, IEEE AVSS,…). He has published more than 15 journal and conference papers. His current research interests are focused in the analysis of video sequences for the video surveillance (moving object extraction, object tracking and recognition, event detection…).
	Tel: 914973429
	Email: Garcia-Martin, Alvaro
	Web: http://www-vpu.ii.uam.es/~agm2/
	Room: C-209

Recent publications

Journals

• Alvaro Garcia-Martin, Juan C. SanMiguel, Jose M. Martinez: "Coarse-to-fine adaptive people detection for video sequences by maximizing mutual information", Sensors, 1 (1): pp. 1-22, January 2019, ISSN 1424-8220 (JCR 2017 - Indice de impacto: 2.475). (En prensa)


• Rafael Martin, Alvaro Garcia-Martin, Juan C. SanMiguel, Jose M. Martinez: "Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization", Sensors, 18 (4385): , December 2018, ISSN 1424-8220


• Rafael Martin, Alvaro Garcia-Martin, Jose M. Martinez: "Incorporating wheelchair users in people detection", Multimedia Tools and Applications, 1 (1): , October 2018, ISSN 1380-7501 (En prensa)


• Rafael Martin, Alvaro Garcia-Martin, Alexander Hauptmann, Jose M. Martinez: "Automatic vacant parking places management system using multicamera vehicle detection", IEEE Transactions on Intelligent Transportation Systems, 0 (0): , May 2018, ISSN 1524-9050 (En prensa)


• Alvaro Garcia-Martin, Ricardo Sanchez, Jose M. Martinez: "Hierarchical detection of persons in groups", Signal, Image and Video Processing, 0 (0): , February 2017, ISSN 1863-1711 (En prensa)


• Alvaro Garcia-Martin, Juan C. SanMiguel: "Context-aware part-based people detection for video monitoring", Electronic Letters, 51 (23): pp. 1865-1867, November 2015, ISSN 0013-5194


• Alvaro Garcia-Martin, Jose M. Martinez: "Post-processing approaches for improving people detection performance", Computer Vision and Image Understanding, 133 (1): , April 2015, ISSN 1077-3142 (JCR 2013 - Indice de impacto: 2.293).


• Alvaro Garcia-Martin, Jose M. Martinez: "People Detection in Surveillance: Classification and Evaluation", IET Computer Vision, 0 (0): , March 2015, ISSN 1751-9632 (JCR 2013 - Indice de impacto: 0.853).


• Alvaro Garcia-Martin, Borja Alcedo, Jose M. Martinez: "PDbm: People detection benchmark repository", Electronic Letters, 1 (1): , February 2015, ISSN 0013-5194 (JCR 2013 - Indice de impacto: 1.068).

Conferences

• Matej Kristan, Erik Velasco, Rafael Martin, Jose M. Martinez, Alvaro Garcia-Martin, Jose M. Martinez, et al.: "The Visual Object Tracking VOT2017 challenge results", en 2017 IEEE International Conference on Computer Vision Workshop, ICCV workshop on Visual Object Tracking, 2017, pp. 1949-1972


• Rafael Martin, Jesús Molina, Alvaro Garcia-Martin, Jose M. Martinez: "Generation and Evaluation of Synthetic Models for Training People Detectors", en 2017 International Carnahan Conference on Security Technology, 2017 International Carnahan Conference on Security Technology Proceedings, 2017, (En prensa)


• Alvaro Garcia-Martin, Juan C. SanMiguel: "Adaptive people detection based on cross-correlation maximization", en 2017 IEEE International Conference on Image Processing, IEEE proceedings , Beijing (China), 2017, (En prensa)


• Alvaro Garcia-Martin, Rosely Sánchez: "Estimación densidad de personas basada en segmentación persona-fondo", en XXXI Simposium Nacional de la Unión Científica Internacional de Radio, XXXI Simposium Nacional de la Unión Científica Internacional de Radio, 2016,


• Matej Kristan, Rafael Martin, Alvaro Garcia-Martin, Jose M. Martinez, et al.: "The Visual Object Tracking VOT2015 challenge results", en 2015 IEEE International Conference on Computer Vision Workshop, ICCV workshop on Visual Object Tracking Challenge, Santiago, 2015, pp. 564-586


• Matej Kristan, Rafael Martin, Alvaro Garcia-Martin, Jose M. Martinez, et al.: "The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results", en 2015 IEEE International Conference on Computer Vision Workshop, IEEE International Conference on Computer Vision Workshop (ICCVW), 2015, 2015, pp. 76-88


• Matej Kristan, Rafael Martin, Alvaro Garcia-Martin, Jose M. Martinez, et al.: "The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results", en 2015 IEEE International Conference on Computer Vision Workshop, ICCV workshop on Visual Object Tracking Challeng, 2015, pp. 824-849


• Matej Kristan, Rafael Martin, Alvaro Garcia-Martin, Jose M. Martinez, et al.: "The Visual Object Tracking VOT2016 challenge results", en 2016 IEEE International Conference on Computer Vision Workshop, ICCV workshop on Visual Object Tracking, 2015, pp. 777-823


• Alvaro Garcia-Martin, Ruben Heras, Thomas Sikora: "Multi-configurations for Part-based Person Detectors", en 3rd International Workshop on Parts and Attributes, in Conjunction with the European Conference on Computer Vision, ECCV, Zurich,Switzerland, 2014,


• Alvaro Garcia-Martin, Ruben Heras, Thomas Sikora: "A Multi-configuration Part-based Person Detector", en 11th of International Conference on Signal Processing and Multimedia Applications, Springer, 2014,