Abstract: A system and method for reducing the effects of multipath propagation (MPP) arising from the operation of a time-of-flight (ToF) sensor are described. The ToF sensor can include light sources that emit modulated light in a monitoring area, which may be partitioned into a number of segments. The light sources may correspond to the segments. Tracking data of an object in the area can be analyzed to determine which segments are occupied by the object. The light sources corresponding to segments occupied by the object can be activated, and the light sources corresponding to segments unoccupied by the object can be deactivated. Modulated light may be emitted from only the activated light sources. Reflections of the modulated light from the object can be received and based on the received reflections, a depth distance of the object with respect to the ToF sensor can be provided.

Abstract: A system and method of dynamically controlling a light source is described herein. Modulated light that includes an input signal riding on illumination light can be emitted in a monitoring area, and an object can be detected in the monitoring area and passively tracked. Based on passively tracking the object, tracking data associated with the object can be received. Based on the tracking data, the illumination light can be steered towards the object in the monitoring area to increase the amount of illumination light striking the object and steered away from one or more sections of the monitoring area that are unoccupied by the object. Reflections of the modulated light can be received from the object and based on the received reflections, a depth distance of the object can be provided.

Abstract: A system and method for reducing multipath propagation is described herein. Modulated light may be diffusively emitted in a monitoring area for the purpose of determining depth distances. If an object is present, the object can be passively tracked. A vicinity occupied by the object may be identified as a high-interest vicinity, and vicinities unoccupied by the object may be designated as low-interest vicinities. The diffusive emission of the modulated light may be maintained with respect to the high-interest vicinity. Simultaneous to maintaining the diffusive emission of the modulated light with respect to the high-interest vicinity, the diffusive emission of the modulated light with respect to the low-interest vicinities may be ceased such that the amount of modulated light reaching the low-interest vicinities is reduced. A depth distance of the object may be determined.

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 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 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.

Abstract: Methods and systems for processing memory lookup requests are provided. In an embodiment, an address processing unit includes an instructions module configured to store instructions to be executed to complete a primary memory lookup request and a logic unit coupled to the instructions module. The primary memory lookup request is associated with a desired address. Based on an instruction stored in the instructions module, the logic unit is configured to generate a secondary memory lookup request that requests the desired address. In another embodiment, a method of processing memory lookups requests includes receiving a primary memory lookup request that corresponds to a desired memory address and generating a plurality of secondary memory lookup requests.

Abstract: Methods and systems for processing memory lookup requests are provided. In an embodiment, an address processing unit includes an instructions module configured to store instructions to be executed to complete a primary memory lookup request and a logic unit coupled to the instructions module. The primary memory lookup request is associated with a desired address. Based on an instruction stored in the instructions module, the logic unit is configured to generate a secondary memory lookup request that requests the desired address. In another embodiment, a method of processing memory lookups requests includes receiving a primary memory lookup request that corresponds to a desired memory address and generating a plurality of secondary memory lookup requests.