Mustafa Fanaswala

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On meta-level time scales, anomalous trajectories can signify target intent through their shape and eventual destination. Such trajectories exhibit complex spatial patterns and have well defined destinations with long-range dependencies implying that Markov (random-walk) models are unsuitable. How can estimated target tracks be used to detect anomalous(More)
We consider the prediction of a target's destination and simultaneously recover its filtered trajectory. Two novel models for trajectories with known destinations are presented using reciprocal stochastic processes and stochastic context-free grammars. We present a destination-aware syntactic tracker which uses conventional state-space estimates from a(More)
In this paper, a track before detect approach utilizing trajectory shape constraints is proposed to track dimly lit targets. The shape of the target trajectory is modeled syntactically using stochastic context-free grammar models (SCFG) that arise in natural language processing. The directional vector of the target acceleration modes are used as geometric(More)
This paper presents generalized models for characterizing spatio-temporal target trajectories that have anomalous patterns. Stochastic context-free grammars (SCFGs) are the modeling framework used to represent anomalous events like circling behaviors and destination-specific trajectories. We propose a hierarchical tracking architecture to ensure legacy(More)
a r t i c l e i n f o a b s t r a c t This paper considers the intent inference problem in a video surveillance application involving person tracking. The video surveillance is carried out through a distributed network of cameras with large non-overlapping areas. The target dynamics are formulated using a novel grammar-modulated state space model. We(More)
In this paper, a novel mode-driven switching state space approach is proposed for the joint tracking and recognition of gestural commands. Gestures are modeled as spatio-temporal patterns comprised of syntactic sub-units called gesturelets. These gesturelets are directional vectors modulating a switching state space model. Stochastic context-free grammars(More)
In this paper, a track before detect approach utilizing trajectory shape constraints is proposed to track dimly lit targets. The shape of the target trajectory is modeled syntactically using stochastic context-free grammar (SCFG) models that arise in natural language processing. These scale-invariant models are subsequently used in enhancing the track(More)
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