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Trajectory prediction plays a critical role on many location-based services such as proximity-based marketing, routing services, and traffic management. The vast majority of existing trajectory prediction techniques utilize the object's motion history to predict the future path(s). In addition to, their assumptions that the objects' moving with rec...
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Context 1
... next report our findings Exp 1:-Comparison between HarmonyMoves and other baseline models. In this set of experiments, Fig. 4 compares 2 baseline prediction techniques of by HarmonyM oves. This is set of experiments choose RandomGuess and RMF for comparison. RMF is an HMM model-based path prediction method , which computes motion function to capture movements. This experiment proves that the proposed system HarmonyM oves outperform other methods in prediction ...
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... next report our findings Exp 1:-Comparison between HarmonyMoves and other baseline models. In this set of experiments, Fig. 4 compares 2 baseline prediction techniques of by HarmonyM oves. This is set of experiments choose RandomGuess and RMF for comparison. RMF is an HMM model-based path prediction method , which computes motion function to capture movements. This experiment proves that the proposed system HarmonyM oves outperform other methods in prediction ...
