Occupant Behavior (OB) is one of the major drivers of building energy consumption.
However, OB is usually oversimplified in Building Performance Simulation (BPS), resulting …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …

Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …

The field of multi-object tracking has recently seen a renewed interest in the good old
schema of tracking-by-detection, as its simplicity and strong priors spare it from the complex …

The performance of single cue object tracking algorithms may degrade due to complex
nature of visual world and environment challenges. In recent past, multicue object tracking …

We present Sensei, the first system designed to understand social interaction and learning
in an early-childhood classroom using a distributed sensor network. Our unobtrusive …

Detecting human activity through cameras and machine learning methods raises significant
privacy concerns, while alternatives like thermal cameras can be expensive. Passive …

The subject of this paper is the object tracking problem in infrared (IR) videos. Our
contribution is twofold. First, the performance behaviour of the state-of-the-art trackers is …

Occupant sensing and data acquisition are essential elements for occupant behavior
research. A wide range of different types of sensors has been implemented to collect rich …

Along with the progress of deep learning techniques, people tracking using video cameras
became easy and accurate. However, privacy and security issues are not enough to be …