A system and method for identifying key frames of a presentation video that include stationary in... more A system and method for identifying key frames of a presentation video that include stationary informational content. A sequence of frames is obtained from a presentation video and differences of pixel values between consecutive frames of the sequence of frames are computed. Sets of consecutive frames that are stationary are identified, wherein consecutive frames that are stationary have a proportion of changed pixel values below a first predetermined threshold, and wherein pixel values are deemed to be changed when the ...
The initiative for this workshop comes from two Working Groups of Commission III of the ISPRS (In... more The initiative for this workshop comes from two Working Groups of Commission III of the ISPRS (International Society for Photogrammetry and Remote Sensing). One major aim of the new Commission III on Photogrammetric Computer Vision and Image Analysis (led by Wolfgang Förstner and Helmut Mayer) is to bring together researchers from the computer vision and photogrammetry fields.
A system and method for identifying key frames of a presentation video that include stationary in... more A system and method for identifying key frames of a presentation video that include stationary informational content. A sequence of frames is obtained from a presentation video and differences of pixel values between consecutive frames of the sequence of frames are computed.
Abstract We analyze the computational problem of multi-object tracking in video sequences. We for... more Abstract We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as well as their birth and death states. We show that the global solution can be obtained with a greedy algorithm that sequentially instantiates tracks using shortest path computations on a flow network. Greedy algorithms allow one to embed pre-processing steps, such as nonmax suppression, within the tracking algorithm.
Abstract We present a novel dataset and novel algorithms for the problem of detecting activities ... more Abstract We present a novel dataset and novel algorithms for the problem of detecting activities of daily living (ADL) in firstperson camera views. We have collected a dataset of 1 million frames of dozens of people performing unscripted, everyday activities. The dataset is annotated with activities, object tracks, hand positions, and interaction events.
Abstract We describe a method for learning steerable deformable part models. Our models exploit t... more Abstract We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one can enforce steerability and separability during learning by applying rank constraints. These constraints are enforced with a coordinate descent learning algorithm, where each step can be solved with an off-the-shelf structured SVM solver.
A system and method for identifying key frames of a presentation video that include stationary in... more A system and method for identifying key frames of a presentation video that include stationary informational content. A sequence of frames is obtained from a presentation video and differences of pixel values between consecutive frames of the sequence of frames are computed. Sets of consecutive frames that are stationary are identified, wherein consecutive frames that are stationary have a proportion of changed pixel values below a first predetermined threshold, and wherein pixel values are deemed to be changed when the ...
The initiative for this workshop comes from two Working Groups of Commission III of the ISPRS (In... more The initiative for this workshop comes from two Working Groups of Commission III of the ISPRS (International Society for Photogrammetry and Remote Sensing). One major aim of the new Commission III on Photogrammetric Computer Vision and Image Analysis (led by Wolfgang Förstner and Helmut Mayer) is to bring together researchers from the computer vision and photogrammetry fields.
A system and method for identifying key frames of a presentation video that include stationary in... more A system and method for identifying key frames of a presentation video that include stationary informational content. A sequence of frames is obtained from a presentation video and differences of pixel values between consecutive frames of the sequence of frames are computed.
Abstract We analyze the computational problem of multi-object tracking in video sequences. We for... more Abstract We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as well as their birth and death states. We show that the global solution can be obtained with a greedy algorithm that sequentially instantiates tracks using shortest path computations on a flow network. Greedy algorithms allow one to embed pre-processing steps, such as nonmax suppression, within the tracking algorithm.
Abstract We present a novel dataset and novel algorithms for the problem of detecting activities ... more Abstract We present a novel dataset and novel algorithms for the problem of detecting activities of daily living (ADL) in firstperson camera views. We have collected a dataset of 1 million frames of dozens of people performing unscripted, everyday activities. The dataset is annotated with activities, object tracks, hand positions, and interaction events.
Abstract We describe a method for learning steerable deformable part models. Our models exploit t... more Abstract We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one can enforce steerability and separability during learning by applying rank constraints. These constraints are enforced with a coordinate descent learning algorithm, where each step can be solved with an off-the-shelf structured SVM solver.
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Papers by Hamed Pirsiavash