Abstract: Systems and methods for improved three-dimensional tracking of objects in a traffic or security monitoring scene are disclosed herein. In various embodiments, a system includes an image sensor, an object localization system, and a coordinate transformation system. The image sensor may be configured to capture a stream of images of a scene. The object localization system may be configured to detect an object in the captured stream of images and determine an object location of the object in the stream of images. The coordinate transformation system may be configured to transform the object location of the object to first coordinates on a flat ground plane, and transform the first coordinates to second coordinates on a non-flat ground plane based at least in part on an elevation map of the scene. Associated methods are also provided.

Abstract: Systems and methods for tracking objects though a traffic control system include an image sensor configured to capture a stream of images of scene from an associated real-world position, an object tracker configured to identify an object in the captured images and define an associated object location in the captured images, a three-dimensional stage model system configured to transform the associated object location in the image to three-dimensional coordinates associated with the image sensor, and a three-dimensional world model configured to transform identified objects to real-world coordinates. Embodiments use lens aberration, sensor mounting height and location, accelerometer, gyro-compass and/or global position satellite information to generate a situational map.

Abstract: Systems and methods for tracking objects though a traffic control system include a plurality of sensors configured to capture data associated with a traffic location, and a logic device configured to detect one or more objects in the captured data, determine an object location within the captured data, transform each object location to world coordinates associated with one of the plurality of sensors; and track each object location using the world coordinates using prediction and occlusion-based processes. The plurality of sensors may include a visual image sensor, a thermal image sensor, a radar sensor, and/or another sensor. An object localization process includes a trained deep learning process configured to receive captured data from one of the sensors and determine a bounding box surrounding the detected object and output a classification of the detected object. The tracked objects are further transformed to three-dimensional objects in the world coordinates.

Abstract: Systems and methods for tracking objects though a traffic control system include an image sensor configured to capture a stream of images of scene from an associated real-world position, an object tracker configured to identify an object in the captured images and define an associated object location in the captured images, a three-dimensional stage model system configured to transform the associated object location in the image to three-dimensional coordinates associated with the image sensor, and a three-dimensional world model configured to transform identified objects to real-world coordinates. Embodiments use lens aberration, sensor mounting height and location, accelerometer, gyro-compass and/or global position satellite information to generate a situational map.

Abstract: Various techniques are provided to process captured thermal images to determine whether the thermal images exhibit degradation associated with environmental effects and/or security conditions. In one example, a method includes capturing a plurality of thermal images of a scene. The thermal images are processed to generate first and second background images associated with first and second time periods to filter out changes in the scene occurring within the associated time periods. The first and second background images are edge filtered to generate first and second edge images. The first and second edge images are compared to determine a change in edges associated with the scene. A device is selectively operated in a fail-safe mode in response to the comparing. Additional methods and related systems are also provided.

Abstract: An amusement ride such as a roller coaster, more in particular to booster drives mounted on a track of such a ride, are disclosed. The booster drives each include at least one booster drive motor for driving booster wheels, and for engaging a drive fin of a passenger vehicle to propel that vehicle along the track. The booster drive further includes a base mounted to the track structure, a frame that supports the at least one booster drive motor and the two booster wheels, and a mobile carrier that connects the frame to the base via a left and a right carrier arm. These carrier arms are non-flexible arms pivotably connected to the base and the frame or they are flexible arms, such that in use they enable movement of the frame relative to the base. A biasing device resiliently forces the frame towards a predetermined position.

Abstract: Various techniques are provided to process captured thermal images to determine whether the thermal images exhibit degradation associated with environmental effects and/or security conditions. In one example, a method includes capturing a plurality of thermal images of a scene. The thermal images are processed to generate first and second background images associated with first and second time periods to filter out changes in the scene occurring within the associated time periods. The first and second background images are edge filtered to generate first and second edge images. The first and second edge images are compared to determine a change in edges associated with the scene. A device is selectively operated in a fail-safe mode in response to the comparing. Additional methods and related systems are also provided.

Abstract: Various embodiments of the present disclosure may include an imaging system. The imaging system may include a controller that is adapted to determine behavior typical of an object within an environment. The imaging system may additionally monitor the object within the environment and detect when the object behaves anomalously within the environment. Upon detection of anomalous behavior, the controller may output an alarm and/or a response message.

Abstract: An amusement ride such as a roller coaster, more in particular to booster drives mounted on a track of such a ride, are disclosed. The booster drives each include at least one booster drive motor for driving booster wheels, and for engaging a drive fin of a passenger vehicle to propel that vehicle along the track. The booster drive further includes a base mounted to the track structure, a frame that supports the at least one booster drive motor and the two booster wheels, and a mobile carrier that connects the frame to the base via a left and a right carrier arm. These carrier arms are non-flexible arms pivotably connected to the base and the frame or they are flexible arms, such that in use they enable movement of the frame relative to the base. A biasing device resiliently forces the frame towards a predetermined position.

Abstract: Various embodiments of the present disclosure may include an imaging system. The imaging system may include a controller that is adapted to determine behavior typical of an object within an environment. The imaging system may additionally monitor the object within the environment and detect when the object behaves anomalously within the environment. Upon detection of anomalous behavior, the controller may output an alarm and/or a response message.