Multiple object tracking Task Image 对图像序列的每帧进行检测,输出表示 objects 位置的 bboxes 和表示身份的 ID。其中,ID对于每一个object在序列中都应该是唯一一个数字序号。 Metrics 主要分为两类 CLEAR MOT 和 ID scores。 MOTA ( CLEAR MOT ) MOTA主要关注跟踪过程中的错误,包括False Negatives(FN),False...
The three-dimensional multiple-object tracking (3D-MOT) exercise is a perceptual-cognitive task that has shown predictive power towards the dynamic requirements of real-world activities such as sport. This study introduced the use of the 3D-MOT task, along with the Standardized Assessment of ...
Kendall A, Gal Y, Cipolla R (2018) Multi-task learning using uncertainty to weigh losses for scene geometry and semantics. In: CVPR, pp 7482–7491 的不确定损失方法,自动地平衡detection和re-id任务。这里的 w_{1},w_{2} 是用来平衡两个任务的可学习参数。也就是说,给定一个有部分目标的图像...
Tracking is typically divided into two steps: detection, i.e., locating the pedestrians in the image, and data association, i.e., linking detections across frames to form complete trajectories. For the data association task, approaches typically aim at developing new, more complex formulations, ...
The multiple object tracking task (Pylyshyn and Storm, 1988) has long been a standard tool for use in understanding how we attend to multiple moving points in the visual field. In the current experiments, it is first demonstrated that this classical task can be adapted for use in a simulated...
While there is difficulty in classifying the quantitative results for the association task only within a proposed MOT framework, our study tries to outline the fundamental ideas put forward by researchers and compare results in a theoretically qualitative approach. Tracking methods are reviewed by ...
In fact, it is no doubt that a multiple object tracker can be realized with multiple single ones Background# The spirit of our approach, that learning auxiliary associative embeddings simultaneously with the main task, also shows good performance in many other vision tasks SOT and MOT# SOT di...
In this interactive multiple object tracking (iMOT) task, implemented as an iPad app, participants were presented with a display of multiple, visually identical disks which moved independently. The task was to prevent any collisions during a fixed duration. Participants could perturb object ...
The first to introduce the transformer in the MOT task. 基于Query-key进行联合检测和追踪。 Transformer的拓展,利用可学习的Query进行新目标的检测,和过去的目标特征的query进行关联。 3. Method 3.1 整体框架 基于transformer结构,输入key为当前帧的特征图,输入query为一系列过去帧的目标特征以及一系列可学习的quer...
We hypothesized that some errors arise prior to tracking; specifically, during the first moments of a trial because of an inability to correctly perceive the number of targets in a display. To test this hypothesis, we modified a basic multiple object tracking (MOT) task in two ways: (1) ...