Apparatus and methods for detecting salient features. In one implementation, an image processing apparatus utilizes latency coding and a spiking neuron network to encode image brightness into spike latency. The spike latency is compared to a saliency window in order to detect early responding neurons. Salient features of the image are associated with the early responding neurons. A dedicated inhibitory neuron receives salient feature indication and provides inhibitory signal to the remaining neurons within the network. The inhibition signal reduces probability of responses by the remaining neurons thereby facilitating salient feature detection within the image by the network. Salient feature detection can be used for example for image compression, background removal and content distribution.
Systems And Methods For Automatic Detection Of Spills
- San Diego CA, US Cody Griffin - San Diego CA, US Micah Richert - San Diego CA, US Filip Piekniewski - San Diego CA, US Eugene Izhikevich - San Diego CA, US Jayram Moorkanikara Nageswaran - San Diego CA, US John Black - San Diego CA, US
Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.
- San Diego CA, US Micah Richert - San Diego CA, US Jean-Baptiste Passot - Solana Beach CA, US John Black - San Diego CA, US Oliver Martin - San Diego CA, US
International Classification:
G05D 1/02
Abstract:
A system for controlling movement of a device comprises at least one processor configured to receive a first input from a sensor upon detection of an obstacle in a first region of the device and a different second input from the sensor upon detection of the object in a different second region of the device and further configured to transmit a first signal to at least one actuator upon receiving the first input from the sensor, the first signal including a strength of first value and transmit a second signal upon receiving the second input from the sensor, the second value being greater than the first value.
Methods And Apparatus For Tracking Objects Using Saliency
Methods and apparatus for tracking and discerning objects using their saliency. In one embodiment of the present disclosure, the tracking of objects is based on a combination of object saliency and additional sources of signal about object identity. Under certain simplifying assumptions, the present disclosure allows for robust tracking of simple objects with limited processing resources. In one or more variants, efficient implementation of the methods described allow sensors (e.g., cameras) to be used on board a robot (or autonomous vehicle) on a mobile determining platform, such as to capture images to determine the presence and/or identity of salient objects. Such determination of salient objects allow for e.g., adjustments to vehicle or other moving object trajectory.
Systems And Methods For Predictive/Reconstructive Visual Object Tracker
- San Diego CA, US Micah Richert - San Diego CA, US Dimitry Fisher - San Deigo CA, US Patryk Laurent - San Diego CA, US Csaba Petre - San Diego CA, US
International Classification:
G06T 7/20 G06T 1/60 G06T 7/00 G06T 9/00
Abstract:
Systems and methods for predictive/reconstructive visual object tracking are disclosed. The visual object tracking has advanced abilities to track objects in scenes, which can have a variety of applications as discussed in this disclosure. In some exemplary implementations, a visual system can comprise a plurality of associative memory units, wherein each associative memory unit has a plurality of layers. The associative memory units can be communicatively coupled to each other in a hierarchical structure, wherein data in associative memory units in higher levels of the hierarchical structure are more abstract than lower associative memory units. The associative memory units can communicate to one another supplying contextual data.
Apparatus And Methods For Detection Of Objects Using Broadband Signals
Broadband signal transmissions may be used for object detection and/or ranging. Broadband transmissions may comprise a pseudo-random bit sequence or a bit sequence produced using, a random process. The sequence may be used to modulate transmissions of a given wave type. Various types of waves may be utilized, pressure, light, and radio waves. Waves reflected by objects within the sensing volume may be sampled. The received signal may be convolved with a time-reversed copy of the transmitted random sequence to produce a correlogram. The correlogram may be analyzed to determine range to objects. The analysis may comprise determination of one or more peaks/troughs in the correlogram. Range to an object may be determines based on a time lag of a respective peak.
Apparatus And Methods For Real Time Estimation Of Differential Motion In Live Video
- San Diego CA, US Micah Richert - San Diego CA, US
International Classification:
H04N 19/50 G06T 7/215
Abstract:
A data processing apparatus may use a video encoder in order to extract motion information from streaming video in real time. Output of the video encoder may be parsed in order to extract motion information associated with one or more objects within the video stream. Motion information may be utilized by e.g., an adaptive controller in order to detect one or more objects salient to a given task. The controller may be configured to determine a control signal associated with the given task. The control signal determination may be configured based on a characteristic of an object detected using motion information extracted from the encoded output. The control signal may be provided to a robotic device causing the device to execute the task. The use of dedicated hardware video encoder output may reduce energy consumption associated with execution of the task and/or extend autonomy of the robotic device.
Systems And Methods For Automatic Detection Of Spills
- San Diego CA, US Cody Griffin - San Diego CA, US Micah Richert - San Diego CA, US Filip Piekniewski - San Diego CA, US Eugene Izhikevich - San Diego CA, US Jayram Moorkanikara Nageswaran - San Diego CA, US John Black - San Diego CA, US
Systems and methods for automatic detection of spills are disclosed. In some exemplary implementations, a robot can have a spill detector comprising at least one optical imaging device configured to capture at least one image of a scene containing a spill while the robot moves between locations. The robot can process the at least one image by segmentation. Once the spill has been identified, the robot can then generate an alert indicative at least in part of a recognition of the spill.