BreathBase contains 5070 breath instances detected on the recordings of 20 participants reading pre-prepared random pseudo texts in 5 different postures with 4 different microphones, simultaneously.
It is recorded in a studio with a maximum background noise of 40 dB SPL and with professional recording equipment. It also provides tagging for 5 different postures and 4 different channels as different recording conditions for data variety.
More than 90% of the recordings is shorter than 600 milliseconds. The minimum number of breath instances per participant is 89, the maximum number of instances is 710 and the average for all participants is 253.5 breath instances
Camera Sabotage / Camera Tamper Detection Dataset
A.Saglam, A.Temizel, “Real-time Adaptive Camera Tamper Detection for Video Surveillance”, in Proceedings IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Sept. 2009.
Crowd Behaviour Analysis Dataset
C. Ongun, A.Temizel, T.Taskaya Temizel, “Local Anomaly Detection in Crowded Scenes Using Finite-Time Lyapunov Exponent Based Clustering”, IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Aug. 2014.