Abstract: A passive-tracking system is described herein. The system can include a visible-light sensor, a sound transducer, a thermal sensor, a time-of-flight (ToF) sensor, and a processor. The processor can receive visible-light frames from the visible-light sensor, sound frames from the sound transducer, thermal frames from the thermal sensor, and modulated-light frames from the ToF sensor. The processor, based on data of the visible-light and temperature frames, can also determine that an object is a living being and can provide an X and Y position of the object. The processor, based on data of the sound and positioning frames, can determine a Z position of the object. The X, Y, and Z positions may combine to form a three-dimensional (3D) position of the object. The processor can also passively track the object over time by selectively updating the 3D position of the object.

Abstract: A passive-tracking system for passively tracking a living being is described herein. The system can include a ToF sensor that emits modulated light in a monitoring area and receives reflections of the light from a first object in the area. The ToF sensor can also generate modulated-light frames based on the reflections of light from the first object. The system also includes a processor communicatively coupled to the ToF sensor. The processor receives the modulated-light frames from the ToF sensor and, based on data of the modulated-light frames, determines that the first object is a living being. The processor further determines an X, Y, and Z position of the first object with respect to the system, which produces a three-dimensional (3D) position of the first object. The processor also passively tracks the first object in the monitoring area over time by periodically updating the 3D position of the first object.

Abstract: A passive-tracking system for passively tracking a living being is described herein. The system can include a visible-light sensor to generate visible-light frames based on visible light reflected off an object and a sound transducer to generate sound frames based on sound reflected off the object. The system can also include a processor that can receive the visible-light and sound frames and based on data of these frames, generate a novelty representation of the object through a merging of the data of the frames. Based on the data of the visible-light and sound frames, the processor can determine the object is a living being, and when the processor does, it can generate, based on the novelty representation, a 3D position of the living-being object and can passively track the living-being object over time by, based on the novelty representation, selectively updating the 3D position of the living-being object.

Abstract: A passive-tracking system is described herein. The system can include a visible-light sensor, a sound transducer, a thermal sensor, a time-of-flight (ToF) sensor, and a processor. The processor can receive visible-light frames from the visible-light sensor, sound frames from the sound transducer, thermal frames from the thermal sensor, and modulated-light frames from the ToF sensor. The processor, based on data of the visible-light and temperature frames, can also determine that an object is a living being and can provide an X and Y position of the object. The processor, based on data of the sound and positioning frames, can determine a Z position of the object. The X, Y, and Z positions may combine to form a three-dimensional (3D) position of the object. The processor can also passively track the object over time by selectively updating the 3D position of the object.

Abstract: A passive-tracking system is described herein. In one example, the passive-tracking system includes a thermal sensor configured to generate a series of thermal frames based on an object in a monitoring area. In this example, the system also includes a processor and a time-of-flight (ToF) sensor configured to generate a series of modulated-light frames based on the object. The processor may be configured to receive the thermal and modulated-light frames and based at least in part on the data of the frames, generate a novelty representation of the object. Based on this data, the processor may also be configured to determine whether the object is human and if so, generate a three-dimensional (3D) position of the human object. The processor may also be configured to passively track the human object over time by, based on the novelty representation, selectively updating the 3D position of the human object.

Abstract: A passive-tracking system is described herein. The system can include a visible-light sensor, a sound transducer, a thermal sensor, a time-of-flight (ToF) sensor, and a processor. The processor can receive visible-light frames from the visible-light sensor, sound frames from the sound transducer, thermal frames from the thermal sensor, and modulated-light frames from the ToF sensor. The processor, based on data of the visible-light and temperature frames, can also determine that an object is a living being and can provide an X and Y position of the object. The processor, based on data of the sound and positioning frames, can determine a Z position of the object. The X, Y, and Z positions may combine to form a three-dimensional (3D) position of the object. The processor can also passively track the object over time by selectively updating the 3D position of the object.