  Indoor tracking has all-pervasive applications beyond mere surveillance, for
example in education, health monitoring, marketing, energy management and so
on. Image and video based tracking systems are intrusive. Thermal array sensors
on the other hand can provide coarse-grained tracking while preserving privacy
of the subjects. The goal of the project is to facilitate motion detection and
group proxemics modeling using an 8 x 8 infrared sensor array. Each of the 8 x
8 pixels is a temperature reading in Fahrenheit. We refer to each 8 x 8 matrix
as a scene. We collected approximately 902 scenes with different configurations
of human groups and different walking directions. We infer direction of motion
of a subject across a set of scenes as left-to-right, right-to-left, up-to-down
and down-to-up using cross-correlation analysis. We used features from
connected component analysis of each background subtracted scene and performed
Support Vector Machine classification to estimate number of instances of human
subjects in the scene.
