Lightweight Particle Filter for Robust Visual Tracking
نویسندگان
چکیده
منابع مشابه
Biologically Inspired Particle Filter for Robust Visual Tracking
Although particle filter and its variants like KPF and UPF achieve great success in many visual tracking applications, they depend on local proposal distributions and hence always fall flat in cases of global object shift and large-scale object movement. To address this issue, we present the concept of global proposal distribution for particle filter with the inspiration from biological vision ...
متن کاملScalable Particle Filter Framework for Visual Tracking
The GPU, as a data-parallel processor architecture, needs an independent-data (parallelizable) processing model in order to provide the best performance. One of the most popular methods for visual tracking is the Particle Filter (PF) algorithm. The PF algorithm enables the modeling of a stochastic process with an arbitrary probability density function by approximating it numerically with a weig...
متن کاملRobust Vehicle Tracking Multi-feature Particle Filter
Object detection and tracking have been studied separately in most cases. Particle filtering has proven very successful for non-linear and nonGaussian estimation problems. This paper presents a new method for tracking moving vehicles with temporal disappearance. The proposed method can continue tracking after disappearance. Color distribution of objects is integrated into particle filtering alg...
متن کاملVisual Tracking Using Multimodal Particle Filter
Visual tracking of humans or objects in motion is a challenging problem when observed data undergo appearance changes (e.g., due to illumination variations, occlusion, cluttered background, etc.). Moreover, tracking systems are usually initialized with predefined target templates, or trained beforehand using known datasets. Hence, they are not always efficient to detect and track objects whose ...
متن کاملRadial Symmetry Guided Particle Filter for Robust Iris Tracking
While pupil tracking under active infrared illumination is now relatively well-established, current iris tracking algorithms often fail due to several non-ideal conditions. In this paper, we present a novel approach for tracking the iris. We introduce a radial symmetry detector into the proposal distribution to guide the particles towards the high probability region. Experimental results demons...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2846682