Wearable Cameras: Identifying Healthy Transportation Choices

Associating locations from wearable cameras

In this paper, we address a specific use-case of wearable or hand-held camera technology: indoor navigation. We explore the possibility of crowdsourcing navigational data in the form of video sequences that are captured from wearable or hand-held cameras. Without using geometric inference techniques (such as SLAM), we test video data for navigational content, and algorithms for extracting that ...

Wearable Cameras for Real-Time Activity Annotation

Google Glass has potential to be a real-time data capture and annotation tool. With professional sports as a use-case, we present a platform which helps a football coach capture and annotate interesting events using Google Glass. In our implementation, an interesting event is indicated by a predefined hand gesture or motion, and our platform can automatically detect these gestures in a video wi...

Place Recognition Using Multiple Wearable Cameras

Recognizing a user’s location is the most challenging problem for providing intelligent location-based services. In this paper, we presented a realtime camera-based system for the place recognition problem. This system takes streams of scene images of a learned environment from user-worn cameras and produces the class label of the current place as an output. Multiple cameras are used to collect...

Understanding Human Behaviors from Wearable Cameras

Imagine a family going out for a walk. The mother reasons beyond what she is seeing: she may guess “why her husband suddenly looks at their son”, “what his gesture means”, and “where to move next”. The son riding a bicycle may reason about “how hard I would pedal my way up the slope”. My research goal is identifying such deep reasoning based on my conjecture—a wearable camera can tap into their...

Identifying Digital Cameras Using CFA Interpolation