Automatic jumping photos on smartphones

Jumping photos are very popular, particularly in the contexts of holidays and entertainment. However, triggering the camera at the right time to take a visually appealing jumping photo is quite difficult in practice, especially for casual photographers or self-portraits. We propose a fully automatic method that solves this practical problem. By analyzing the ongoing jump motion online at a fast rate, our method predicts the time at which the jumping person will reach the highest point and takes trigger delays into account to compute when the camera has to be triggered. Since smartphones are more and more ubiquitous, we focus on these devices which leads to some challenges such as limited computational power and data transfer rates. We developed an Android app for smart-phones and used it to conduct experiments with various jump styles confirming the validity of our approach.