Miguel A Aguilar Jurado, Pedro Gil Madrona, Juan Francisco Ortega Dato, Óscar Francisco Rodríguez Blanco
[Improvement of students' physical condition and health after a physical activity breaks program]
Revista espanola de salud publica
visual object tracking fundamental research area field computer vision pattern recognition utilized various intelligent systems however visual object tracking faces various challenging issues tracking influenced illumination change pose change partial occlusion background clutter sparse representationbased appearance modeling dictionary learning optimize tracking history proposed one possible solution overcome problems visual object tracking however limitations representing high dimensional descriptors using standard sparse representation approach therefore study proposes structured sparse principal component analysis represent complex appearance descriptors target object effectively linear combination small number elementary atoms chosen overcomplete dictionary using online dictionary learning updating selecting similar dictionaries high probability makes possible track target object variety environments qualitative quantitative experimental results including comparison current state art visual object tracking algorithms validate proposed tracking algorithm performs favorably changes target object environment benchmark video sequences