Object detection is an important process in surveillance system to locate objects and it considered as major application computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object achieve higher performance. However, existing some limitations such overfitting problem lower efficiency small detection. remote sensing hasthe of low detecti...

A utility function is an important tool for representing a DM’s preference. We adjoin utility functions to multi-objective optimization problems. In current studies, usually one utility function is used for each objective function. Situations may arise for a goal to have multiple utility functions. Here, we consider a constrained multi-objective problem with each objective having multiple utili...

Prostheses for clinical use restore the lost motor function of the hand, but not the sensory function. Implementing sensory feedback (SF) in prostheses can increase the grasping capability, introduce a feeling of embodiment of the prosthesis, and reduce phantom limb pain [1], [2]. The current noninvasive SF systems normally only incorporate one-modality (electrotactile, mechanotactile, or vibro...

Multi-object tracking technology plays a crucial role in many applications, such as autonomous vehicles and security monitoring. This paper proposes multi-object framework based on the multi-modal information of 3D point clouds color images. At each sampling instant, cloud image acquired by LiDAR camera are fused into cloud, where objects detected Point-GNN method. And, novel height-intensity-d...

Acoustic cloaking has received significant interest due to the appealing ability render an object acoustically invisible. In a similar concept acoustic cloaking, illusions provide capability misrepresent field of object. Combining and with numerical discretization methods allow objects greater complexity be considered. This work presents active three-dimensional rigid objects. The boundary elem...

This paper presents a model-based object recognition approach that uses a hierarchical Gabor wavelet representation. The key idea is to use magnitude, phase and frequency measures of Gabor wavelet representation in an innovative flexible matching approach that can provide robust recognition. A Gabor gr id , a topology-preserving map, eficiently encodes both signal energy and structural informat...