Object Tracking Based on Channel Attention
نویسندگان
چکیده
منابع مشابه
Object Tracking Based on Visual Attention Model and Particle Filter
An object tracking method based on visual attention model and particle filter is presented. An improved visual attention model is employed to measure the similarity between tracked objects and candidate objects. Gaussian weighted color, intensity, orientation and motion saliency map are calculated with strategy to compose the attention value, which can be used to measure the similarity of the o...
متن کاملVisual Attention Based Motion Object Detection and Trajectory Tracking
A motion trajectory tracking method using a novel visual attention model and kernel density estimation is proposed in this paper. As a crucial step, moving objects detection is based on visual attention. The visual attention model is built by combination of the static and motion feature attention map and a Karhunen-Loeve transform (KLT) distribution map. Since the visual attention analysis is c...
متن کاملA Visual Attention Based Method for Object Tracking
Object tracking is a very important operation in many surveillance applications. It is also closely related to motion detection/estimation and object recognition. This paper proposes a visual attention based method for object tracking. This technique is used to generate motion vectors for each frame in a moving video sequence. Results are compared with MPEG video encoder produced motion vectors...
متن کاملMean Shift-based Object Tracking Using Proper Color Space Channel
Journal of Engineering Sciences, Assiut University, Faculty of Engineering, Vol. 42, No. 1, January, 2014, E-mail address: [email protected] MEAN SHIFT-BASED OBJECT TRACKING USING PROPER COLOR SPACE CHANNEL Ahmed Nabil Mohamed 1, and Mohamed Moness Ali 2 Assistant Lecturer, Department of Computer and Information Systems, Sadat Academy Professor, Department of Computers and Systems, Engineering Fac...
متن کاملMultiple object tracking: anticipatory attention doesn't "bounce".
We investigated motion extrapolation in object tracking in two experiments. In Experiment 1, we used a multiple-object-tracking task (MOT; three targets, three distractors) combined with a probe detection task to investigate the distribution of attention around a target object. We found anisotropic probe detection rates with increased probe detection at locations where a target is heading. In E...
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: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2967031