PhD Student, Globetrotter, Programmer, Adrenaline Junkie.
The Let's Dance project is an effort to create a more challenging motion-heavy dataset for action recognition. We present 10 different types of dancing which are heavily dependent on motion in order to better test the parametrization of motion in videos.
We present an approach for identifying picturesque highlights from large amounts of egocentric video data. Given a set of egocentric videos captured over the course of a vacation, our method analyzes the videos and looks for images that have good picturesque and artistic properties. We introduce novel techniques to automatically determine aesthetic features such as composition, symmetry and color vibrancy in egocentric videos and rank the video frames based on their photographic qualities to generate highlights.
In this project we are exploring the methods in which we can analyze egocentric images to recognize activities. Thus far we have conducted a few experiments, the main one of which analyzes 40,103 labeled images (by activity) taken over a period of 6 months and uses Convolutional Neural Networks (CNNs) to classify them. We achieve an overall accuracy of 83.07% for 19 unique activities.
The Video Segmentation Project was an effort to bring the video segmentation and annotation algorithm to the web. We leverage the tools under Google Cloud to provide users the ability to segment and annotate their videos online. To date, over 2000 videos have been processed in the online framework.
*Beards subject to availability, requests may be put in advance.
Hello there! My name is Daniel Castro, I am a PhD student under Dr. Irfan Essa at the Georgia Institute of Technology. I completed my undergraduate degree in Computer Science at GT in May 2013. Throughout my doctoral career I have focused on understanding human motion. Outside of my research, I helped start 2 Oceans Brewing with three of my friends, I love discussing any and everything related to beer. I have an affinity for adrenaline rushes (skydiving, canyon jumping), occassionally I write poetry , love woodworking, and spending time becoming a better person :).
Castro, D., Hickson, S., Sangkloy, P., Mittal, B., Dai, S., Hays, J., & Essa, I. (2018). Let's Dance: Learning From Online Dance Videos. arXiv preprint arXiv:1801.07388.
Bettadapura, Vinay, Daniel Castro, and Irfan Essa. "Discovering picturesque highlights from egocentric vacation videos." Applications of Computer Vision (WACV), 2016 IEEE Winter Conference on. IEEE, 2016.
Feel free to send me a note about anything. I love meeting new people.