Object detection plays a crucial role in the development of Electronic Travel Aids (ETAs), capable to guide a person with visual impairments towards a target object in an unknown indoor environment.

To solve this problem, we propose an enhanced fall detection method that adopts the Kalman filter for improved landmark and fall detection and object tracking for multi-person fall detection.