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Given that the tracking algorithm is preceded by a data association algorithm, we can analyze the activity performed by each individual separately.
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Our method relies on a data-association framework by resolving a MAP problem.
Our future work also includes improving the tracking performance by introducing data association frameworks and interaction models between fishes to estimate the states in the next frame.
(4) Track continuity: Track continuity can be completed according to the particle labels by the data association technique [34], i.e., the track can be obtained by comparing the number of particles with the same labels in each component.
To account for the uncertainty in the origin of the measurement, the extended likelihood data association method [10] incorporates local attribute information of measurements weighted by probabilistic data association (PDA) for correctly identifying the measurement from the target as against the clutter.
In the proposed filter, the association probabilities of the current valid measurements belonging to a motion target are calculated by the probabilistic data association (PDA) algorithm.
The Gaussian mixture [19] of (30) can be obtained by using the data association probabilities of (35) as bar{boldsymbol{x}}_{k|Nbackslash k}=sumlimits_{eta = 1}^{{m_{k}^{tau}}}beta_{k}^{eta}bar{boldsymbol{x}}_{k}^{eta} (36).
Specifically, the TALA maintains a set of hypothesised target locations, and performs nearest neighbour data association on a measurement-by-measurement basis, allowing each measurement to be associated with more than one hypothesised target location.
The data association is controlled by a temporal reasoning scheme.
The main problem is how to achieve data association of position information by a visual sensor with identification information by an identification sensor under these issues.
Scan matching also serves to enhance data association reliability by providing a shape metric for landmark disambiguation.
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