Counting Bites and Recognizing Consumed Food from Videos for Passive Dietary Monitoring

Recognizing Human Faces from Videos

We present an exemplar-based probabilistic approach for face recognition in video data. The approach has two stages: First, Exemplars, which are selected representatives from the raw video, are automatically extracted from gallery videos. The exemplars are used to summarize the gallery video information. In the second part, these exemplars are then used as centers for probabilistic mixture dist...

Unsupervised Feature Learning from Videos for Discovering and Recognizing Actions

In this work, we evaluate different unsupervised feature learning approaches using Convolutional Neural Networks (CNNs) and videos. Essentially, we experiment with a CNN feature learning model based on the Contrastive Loss function. We propose a novel Siamese-tuple network architecture trained with a new loss function which benefits from the temporal coherence present in videos as the unique fo...

Recognizing Human Activities from Partially Observed Videos

Recognizing human activities in partially observed videos is a challenging problem and has many practical applications. When the unobserved subsequence is at the end of the video, the problem is reduced to activity prediction from unfinished activity streaming, which has been studied by many researchers. However, in the general case, an unobserved subsequence may occur at any time by yielding a...

Tracking Objects from Multiple Soccer Videos and Recognizing Events

This paper presents a novel way of recognizing events from a soccer match video sequence. After tracking players and the ball, events such as passing, kicking, having, scoring and struggling for the ball can be inferred for the subsequences. In our framework, the ball trajectory is represented as an image blob broken with cuts caused by occlusion or interference from a player. For those frame c...

Passive Acoustic Monitoring Bioacoustical Monitoring in Terrestrial Environments Counting Critters in the Sea Using Active Acoustics Passive Acoustic Monitoring for Estimating Animal Density and More Passive Acoustic Monitoring for Estimating Animal Density 35 PASSIVE ACOUSTIC MONITORING FOR ESTIMATING ANIMAL DENSITY