Applying Random Matrix Theory Filters on SenseCam

The tools currently available in each of these domains are not powerful enough alone to account for the diversity and complexity of content typical of real everyday life egocentric videos. Current maps, composed of meaningless geometric entities, are quite poor for performing high-level tasks such as object manipulation. Focusing on functional human activities (that often involve interactions with objects in the nearfield), and consequently on dynamic scenes, adds to the challenging and interesting nature of this problem, even from a traditional SLAM perspective. On the other hand, ADL detectors perform poorly in the case of small objects occluded by other surrounding objects or by the user's body parts. Research breakthroughs are thus required, not only in vision-based ADL recognition and SLAM, but also in exploiting the synergy of the combination.