ARWC Software Module

ARWC (Activity Recognition from Wearable Camera)

The ARWC component analyses frames from egocentric-video camera recordings in order to detect instrumental activities of daily living of a wearer. ARWC is composed of ORWC and RRWC which are respectively object recognition and room (location) recognition.The module input are confidences of obects from a pre-defined set of catégories and locations from predefined set of categories as well. It applyies temporal features computation algorithm and supervised machine learning approach (SVM) to recognized Instrumental activities from a given set of categorie

ORWC(Object Recognition from Wearabe Camera)

The ORWC component uses machine learning approach with prediction of salient areas in video frames. It has to be trained with a certain amount of annotated egocentric fvideo frames to generate a visual dictionnary and multiclass object classifier. It ensures recognition of objects from a predefined set of categories. The output of the ORWC component is a vector of probabilities, each coordinate of which corresponds to an object category.

RRWC (Room recognition from Wearable Camera)

The RRWC software module serves for recognition of a location in a person's environment where an activity is performed. has to be trained with a certain amount of annotated egocentric-video frames in order to generate a visual vocabulary and a multiclass classifier for a given set of locations in person's environment. These models are then used int RRWC so as to test the new videos for the purpose of computing probabilities of rooms detected. Its output is a vector of probabilities, each coordinate of which corresponds to a “room”, that s predefined location in person's environment.

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