Abstract: Methods and systems for measuring group behavior are provided. Group behavior of different groups may be measured objectively and automatically in different environments including a dark environment. A uniform visible signal comprising images of members of a group may be obtained. Facial motion and body motions of each member may be detected and analyzed from the signal. Group behavior may be measured by aggregating facial motions and body motions of all members of the group. A facial motion such as a smile may be detected by using the Fourier Lucas-Kanade (FLK) algorithm to register and track faces of each member of a group. A flow-profile for each member of the group is generated. Group behavior may be further analyzed to determine a correlation of the group behavior and the content of the stimulus. A prediction of the general public's response to the stimulus based on the analysis of the group behavior is also provided.

Abstract: Methods and systems for measuring group behavior are provided. Group behavior of different groups may be measured objectively and automatically in different environments including a dark environment. A uniform visible signal comprising images of members of a group may be obtained. Facial motion and body motions of each member may be detected and analyzed from the signal. Group behavior may be measured by aggregating facial motions and body motions of all members of the group. A facial motion such as a smile may be detected by using the Fourier Lucas-Kanade (FLK) algorithm to register and track faces of each member of a group. A flow-profile for each member of the group is generated. Group behavior may be further analyzed to determine a correlation of the group behavior and the content of the stimulus. A prediction of the general public's response to the stimulus based on the analysis of the group behavior is also provided.

Abstract: Approaches are described for assigning roles to agents in a group of agents engaging in an activity. An assignment analysis system receives a first set of detections, where each detection in the first set of detections comprises a physical location. The assignment analysis system defines an exemplar formation comprising an arrangement of each role in a set of roles. The assignment analysis system calculates a first cost function between at least one detection in the first set of detections and at least one role in the set of roles. The assignment analysis system generates a first set of permutations based on the first cost function. The assignment analysis system assigns a first role in the set of roles to a first detection in the first set of detections based on the first set of permutations.

Abstract: Approaches are described for discovering a formation associated with an agent group engaging in an activity over a window of time. A formation analysis system computes first and second results for an objective function based on first and second sets of role assignments for each agent in the agent group at first and second moments in time, respectively. The formation analysis system iterates by: replacing the first set of role assignments with the second set of role assignments, and determining whether completion criteria have been met based at least in part on comparing the first result with the second result. If the completion criteria have not been met, then the formation analysis system replaces the second set of role assignments with a third set of role assignments that associate each agent in the first agent group with a different role assignment in the third set of role assignments at a third moment in time.

Abstract: Systems and methods are disclosed for a future event prediction. Embodiments include capturing spatiotemporal data pertaining to activities, wherein the activities include a plurality of events, and employing an augmented-hidden-conditional-random-field (a-HCRF) predictor to generate a future event prediction based on a parameter-vector input, hidden states, and the spatiotemporal data. Methods therein utilize a graph including a first node associated with random variables corresponding to a future event state, a second node associated with random variables corresponding to spatiotemporal input data, a first group of nodes, each node therein associated with random variables corresponding to a subset of the spatiotemporal input data, a second group of nodes, each node therein associated with random variables corresponding to a hidden-state; wherein the edges connect the first node with the second node, the first node with the second group of nodes, and the first group of nodes with the second group of nodes.

Abstract: Approaches are described for assigning roles to agents in a group of agents engaging in an activity. An assignment analysis system receives a first set of detections, where each detection in the first set of detections comprises a physical location. The assignment analysis system defines an exemplar formation comprising an arrangement of each role in a set of roles. The assignment analysis system calculates a first cost function between at least one detection in the first set of detections and at least one role in the set of roles. The assignment analysis system generates a first set of permutations based on the first cost function. The assignment analysis system assigns a first role in the set of roles to a first detection in the first set of detections based on the first set of permutations.

Abstract: Methods and systems for measuring group behavior are provided. Group behavior of different groups may be measured objectively and automatically in different environments including a dark environment. A uniform visible signal comprising images of members of a group may be obtained. Facial motion and body motions of each member may be detected and analyzed from the signal. Group behavior may be measured by aggregating facial motions and body motions of all members of the group. A facial motion such as a smile may be detected by using the Fourier Lucas-Kanade (FLK) algorithm to register and track faces of each member of a group. A flow-profile for each member of the group is generated. Group behavior may be further analyzed to determine a correlation of the group behavior and the content of the stimulus. A prediction of the general public's response to the stimulus based on the analysis of the group behavior is also provided.

Abstract: Methods and systems for measuring group behavior are provided. Group behavior of different groups may be measured objectively and automatically in different environments including a dark environment. A uniform visible signal comprising images of members of a group may be obtained. Facial motion and body motions of each member may be detected and analyzed from the signal. Group behavior may be measured by aggregating facial motions and body motions of all members of the group. A facial motion such as a smile may be detected by using the Fourier Lucas-Kanade (FLK) algorithm to register and track faces of each member of a group. A flow-profile for each member of the group is generated. Group behavior may be further analyzed to determine a correlation of the group behavior and the content of the stimulus. A prediction of the general public's response to the stimulus based on the analysis of the group behavior is also provided.

Abstract: Techniques are described to characterize motion patterns of a group of agents engaging in an activity. An analysis system receives input data associated with spatial and temporal information of at least one element of interest associated with the activity, where the object of interest may be a ball, person, animal or any other object in motion. The analysis system partitions the input data into a plurality of spatiotemporal segments and generates one or more representations of one or more sets of segments of the plurality of spatiotemporal segments based on one or more criteria. The analysis system computes a metric, such as an entropy value, for each of the one or more representations. Partial tracing data, such as ball movements in a sporting event, may be created using an inexpensive input device, such as a tablet computer, making the disclosed techniques available for a wide range of events and activities.