Object detection is a vital research direction in machine vision and deep learning. The object
detection technique based on deep understanding has achieved tremendous progress in …

This book covers the description of both conventional methods and advanced methods. In
conventional methods, visual tracking techniques such as stochastic, deterministic …

The mid-wave infrared imager has stronger transmission ability than the visible near-infrared
imager, which can effectively overcome the limitation of the low-visibility climate on the …

Visual recognition and automatic control technology is an important way to realize robot
automatic ball picking. Therefore, a tennis robot motion control method based on ant colony …

A multi-feature fusion tracking algorithm updated with a self-associative memory learning
mechanism is proposed to address the problems of short-time disappearance, re …

摘要针对目标跟踪算法应对遮挡, 模糊, 尺度变换等挑战时, 容易导致漂移和跟踪失败的情况,
提出一种复杂场景下的自适应相关滤波跟踪算法. 首先, 采用所提的多特征互补策略 …

The application of motion capture system in basketball game can intercept the highlights of
the game and improve the viewing effect. In order to improve the tracking performance of …

To address the problem of image classification in which the intra-class variation and inter-
class similarity are large due to external interference, thus increasing the difficulty of image …

Aiming at the problems of target occlusion, illumination change, and fast motion in target
tracking, an anomaly suppression correlation filtering algorithm is proposed. The histogram …

This paper proposes an anti-occlusion target tracking algorithm that integrates deep
convolutional features with handcrafted features and adds Average Peak Correlation Energy …