摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …

Despite all the significant advances in pedestrian detection brought by computer vision for
driving assistance, it is still a challenging problem. One reason is the extremely varying …

The paper presents an emerging issue of fine-grained pedestrian action recognition that
induces an advanced pre-crush safety to estimate a pedestrian intention in advance. The …

We investigate the effect of appearance variations on the detectability of vibration feature
extraction with pixel-level digital filters for high-frame-rate videos. In particular, we consider …

Nowadays, many pedestrians are victims of road accidents. Several artificial vision
solutions, based on pedestrian detection, have therefore been developed to assist drivers …

Computer vision technologies are at the core of different advanced driver assistance
systems (ADAS) and will play a key role in oncoming autonomous vehicles too. One of the …

The recent evolution in sensor-based depth information has been developed a sounding
scope to work for human activity recognition using depth image sequences. Activity …

The recent revolution of sensor-based depth information opens attracting scope to work for
human activity recognition. The activities due to human being can have a great interest in …

Contextual-based image classification attempts at considering spatial/temporal information
during the learning process in order to make the classification process smarter. Sequential …

Detecting pedestrians in low resolution videos is a challenging task, due to the small size of
pedestrians in the images and the limited information. In practical outdoor surveillance …