Dynamic task decomposition for probabilistic tracking in complex scenes
The employment of visual sensor networks in surveillance systems has brought in as many
challenges as advantages. While the integration of multiple cameras into a network has the …
challenges as advantages. While the integration of multiple cameras into a network has the …
Dynamic task decomposition for decentralized object tracking in complex scenes
The employment of visual sensor networks for video surveillance has brought in as many
challenges as advantages. While the integration of multiple cameras into a network has the …
challenges as advantages. While the integration of multiple cameras into a network has the …
Wide-area multi-camera multi-object tracking with dynamic task decomposition
This paper proposes a dynamical task decomposition approach for tracking a large number
of people in a wide area with multiple cameras. By exploiting geometric relations between …
of people in a wide area with multiple cameras. By exploiting geometric relations between …
Robust tracking of articulated human movements through Component-Based Multiple Instance Learning with particle filtering
We present a robust approach for tracking human subjects as their limbs and torso are
engaged in large articulated movements while the entire body is executing a large …
engaged in large articulated movements while the entire body is executing a large …
Adaptive Resource Management for Sensor Fusion in Visual Tracking
Sensor fusion for visual tracking is attractive since the integration of multiple sensors and/or
features with different characteristics has potential to improve tracking performance …
features with different characteristics has potential to improve tracking performance …
Articulated Human Movements Tracking Through Online Discriminative Learning
K Han - 2020 - search.proquest.com
In this thesis, we present a new class of object trackers that are based on a boosted Multiple
Instance Learning (MIL) algorithm to track an object in a video sequence. We show how the …
Instance Learning (MIL) algorithm to track an object in a video sequence. We show how the …